Environment-adaptive microwave detection device and environment-adaptive method thereof

Abstract

The application discloses an environment adaptive microwave detection device and an environment adaptive method thereof. In view of the research finding that the acceleration range of human activity is more extensive than the acceleration range of periodic mechanical interference, the environment adaptive microwave detection device and the environment adaptive method thereof identify the effectiveness of the corresponding relationship between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity according to the fluctuation range difference of each frequency value of the Doppler intermediate frequency signal in the frequency domain within a period T, so as to determine whether there is human activity in the detection area within the period T, and thus the periodic interference in the environmental interference can be adaptively learned in real time or memorably to adapt to different installation environments and environmental changes, and the accuracy of human activity detection can be improved.

Description

Technical Field

[0001] This invention relates to the field of microwave detection, and more particularly to an environment-adaptive microwave detection device and its environment-adaptive method. Background Technology

[0002] With the development of IoT technology, artificial intelligence, smart home, and smart security technologies have increasingly widespread demands for environmental detection, especially for detecting the presence and behavior of human beings. Among these, microwave detection technology based on the Doppler effect principle has unique advantages in presence and behavior detection technologies, serving as an important hub connecting people and objects, and objects with each other. It can detect moving objects without infringing on human privacy, such as human motion characteristics, movement characteristics, micro-motion characteristics, and even human heartbeat and breathing characteristics. Therefore, it has a wide range of application needs. For example, it can intelligently adjust the working state of corresponding electrical equipment based on the detection results to achieve intelligent interconnection between people and objects, and between objects with each other.

[0003] Specifically, a microwave detector is fed by an excitation signal to emit a microwave beam at a frequency corresponding to the excitation signal into the target space, thereby forming a detection area in the target space. It also receives a reflected echo formed by the microwave beam being reflected by a corresponding object within the detection area and transmits an echo signal corresponding to the frequency of the reflected echo to a mixing and detection unit. The mixing and detection unit mixes the excitation signal and the echo signal to output a Doppler intermediate frequency signal corresponding to the frequency / phase difference between the excitation signal and the echo signal. Based on the Doppler effect, when the object reflecting the microwave beam is in motion, the echo signal and... The excitation signals have a certain frequency / phase difference, resulting in corresponding amplitude fluctuations in the Doppler intermediate frequency (IF) signal. That is, the Doppler IF signal is a time-domain signal, with time on the horizontal axis and amplitude on the vertical axis. The amplitude of the Doppler IF signal is simultaneously related to the size of the reflecting surface of the moving object, the intensity of its motion, and its distance from the microwave detector. It can be understood that, at any given moment, the size of the reflecting surface of the moving object and its distance from the microwave detector can be considered constant. Therefore, the amplitude of the Doppler IF signal can characterize the intensity of the moving object's motion in the time domain, i.e., the Doppler frequency shift f. d , where f d =2f0*v*cosθ / c, where f0 is the frequency of the excitation signal, v*cosθ is the velocity component of the moving object in the direction toward the microwave detector, i.e., v is the velocity of the moving object, θ is the angle between the velocity direction of the moving object and the direction toward the microwave detector, and c is the transmission speed of electromagnetic waves, which is taken as the speed of light.

[0004] In other words, the Doppler intermediate frequency signal can be used to feedback the motion information of a corresponding object. For example, when the corresponding object is a human body, the Doppler intermediate frequency signal can be used to feedback human activity information, including human movement information, micro-motion information, and breathing and heartbeat information. However, because the Doppler intermediate frequency signal also contains signals corresponding to environmental interference, such as the certain 50Hz or 60Hz power frequency interference, and possible high-frequency electromagnetic interference, vibration interference caused by air conditioners and exhaust fans, interference from small animals causing erroneous movements, interference from swaying curtains, etc., the motion intensity of various human movements and environmental interference movements has a changing process. Consequently, the instantaneous amplitudes of the signals corresponding to different movements in the Doppler intermediate frequency signal have partially identical values. Therefore, the signals corresponding to human movements and environmental interference movements in the Doppler intermediate frequency signal cannot be directly identified and extracted in terms of amplitude. Although frequency domain analysis of the Doppler intermediate frequency signal can obtain the fluctuation signal of the Doppler signal's frequency changing over time, and the frequency of the fluctuation signal can be used to characterize the frequency of the velocity component of the moving object to identify the movement frequency of the moving object. However, due to the diversity of environmental interference actions, the wide frequency distribution of these actions, and their simultaneous presence of periodicity and sporadic occurrence, identifying and extracting signals corresponding to human actions from the fluctuation signals based solely on their frequency and periodicity cannot guarantee the accuracy of the extracted signals' feedback on human actions, especially feedback corresponding to human movement, which also has a periodic delay corresponding to the frequency of the fluctuation signals. Therefore, the accuracy of current microwave detectors based on the Doppler effect in detecting human activity is insufficient for their application in the field of intelligent technology. Summary of the Invention

[0005] One objective of this invention is to provide an environment-adaptive microwave detection device and its environment-adaptive method. The environment-adaptive microwave detection device and its environment-adaptive method can autonomously and adaptively learn from the detection area, eliminating interference from environmental disturbances, thereby improving the accuracy of the device's feedback on human activity within the detection area. This adapts to different installation environments and environmental changes, thus enhancing the accuracy of human activity detection and facilitating its application in the field of intelligent technology.

[0006] One objective of this invention is to provide an environment-adaptive microwave detection device and its environment-adaptive method. While the frequency range of periodic interference actions in environmental interference may overlap with the frequency range of human body movements, the acceleration range of human body movements is wider than that of periodic mechanical interference actions. This is characterized by the difference in the frequency fluctuation range of the corresponding Doppler intermediate frequency signal in the frequency domain over a time period T. Specifically, within this time period T, the fluctuation range of the Doppler intermediate frequency signal corresponding to human body movements in the frequency domain is wider than the fluctuation range corresponding to periodic interference actions in environmental interference. The environment-adaptive microwave detection device and its environment-adaptive method, based on the differences in the fluctuation range of each frequency value of the Doppler intermediate frequency signal in the frequency domain over a time period T, identify the validity of the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human body movements, thereby determining whether human body movements exist in the detection area within this time period T. Therefore, it can autonomously and adaptively learn periodic interference actions in environmental interference in real time or through memory to adapt to different installation environments and environmental changes, thereby improving the accuracy of human body movement detection.

[0007] One objective of this invention is to provide an environment-adaptive microwave detection device and its environment-adaptive method. Based on the objective of validating the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity within a time period T, the environment-adaptive microwave detection device and its environment-adaptive method, within a set or objectively existing time period T, acquires at least two time windows t of the Doppler intermediate frequency signal frequency value distribution dataset M in the frequency domain through time-frequency conversion. It then compares at least one pair of frequency value combinations belonging to different frequency value distribution datasets M, identifying the frequency value combination with a frequency difference less than a preset frequency difference value Δf as the fluctuation frequency value corresponding to periodic interference actions in the environmental interference. This process validates the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity within each time window t, thereby determining whether human activity exists in the detection area within each time window t / time period T.

[0008] One objective of this invention is to provide an environment-adaptive microwave detection device and its environment-adaptive method. Based on the objective of validating the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity within a time period T, the environment-adaptive microwave detection device and its environment-adaptive method acquire, within a set or objectively existing time period T, at least two time windows t of the Doppler intermediate frequency signal frequency value distribution dataset M in the frequency domain through time-frequency conversion. The method compares at least one pair of frequency value combinations belonging to different frequency value distribution datasets M, and considers a frequency value where the frequency difference between any frequency value in one frequency value distribution dataset M and any frequency value in another frequency value distribution dataset M is greater than or equal to a preset frequency difference value Δf as a valid frequency value. Therefore, based on the existence or absence of valid frequency values, the method identifies the validity of the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity within each time window t, thereby determining whether human activity exists in the detection area within the time period T between the two time windows t.

[0009] One objective of this invention is to provide an environment-adaptive microwave detection device and its environment-adaptive method. Given that the intensity of periodic interference actions in environmental interference is relatively stable, corresponding to the difference in amplitude fluctuation range of the corresponding Doppler intermediate frequency signal in the frequency domain over a time period T, i.e., the amplitude fluctuation range of the Doppler intermediate frequency signal corresponding to the frequency value of human activity within that time period T is wider than the amplitude fluctuation range corresponding to the frequency value of the periodic interference action in the environmental interference, the environment-adaptive microwave detection device and its environment-adaptive method further identify the effectiveness of the correspondence between the frequency value of the Doppler intermediate frequency signal and human activity based on the difference in amplitude fluctuation range of the Doppler intermediate frequency signal corresponding to the frequency value in the frequency domain within that time period T. This allows for a more accurate determination of whether human activity exists in the detection area within that time period T. Therefore, it can achieve real-time or memory-based autonomous adaptive learning of periodic interference actions in environmental interference to adapt to different installation environments and environmental changes, thereby improving the accuracy of human activity detection.

[0010] One objective of this invention is to provide an environment-adaptive microwave detection device and its environment-adaptive method. Based on the objective of validating the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity actions within a time period T, the environment-adaptive microwave detection device and its environment-adaptive method, within a set or objectively existing time period T, acquires a frequency value distribution dataset M of the Doppler intermediate frequency signal in the frequency domain for at least two time windows t through time-frequency conversion. It then compares at least one pair of frequency value combinations belonging to different frequency value distribution datasets M, identifying frequency value combinations with frequency differences less than a preset frequency difference value Δf and amplitude differences less than a preset amplitude difference value ΔV as the fluctuation frequency values ​​corresponding to periodic interference actions in environmental interference. This process validates the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity actions within each time window t.

[0011] One objective of this invention is to provide an environment-adaptive microwave detection device and its environment-adaptive method. Based on the objective of validating the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity within a time period T, the environment-adaptive microwave detection device and its environment-adaptive method, within a set or objectively existing time period T, acquires at least two time windows t of the Doppler intermediate frequency signal frequency value distribution dataset M in the frequency domain through time-frequency conversion. It compares at least one pair of frequency value combinations belonging to different frequency value distribution datasets M, defining a valid frequency value as a frequency whose frequency difference between any frequency value in one frequency value distribution dataset M and any frequency value in another frequency value distribution dataset M is greater than or equal to a preset frequency difference value Δf. It also defines a valid frequency value combination as a combination where both frequency values ​​in each combination are valid and the difference in amplitude corresponding to the two valid frequency values ​​is greater than or equal to a preset amplitude difference value ΔV. Thus, based on the existence or absence of valid frequency value combinations, the effectiveness of the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity within each time window t is determined.

[0012] One objective of this invention is to provide an environment-adaptive microwave detection device and its environment-adaptive method. Given the continuity of normal human activity within adjacent time windows t, and based on the effectiveness of identifying the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity within a time period T, the environment-adaptive microwave detection device and its environment-adaptive method, within a set or objectively existing time period T, acquires a frequency value distribution dataset M of the Doppler intermediate frequency signal in the frequency domain for at least three time windows t through time-frequency conversion. By comparing frequency value combinations belonging to different frequency value distribution datasets M in adjacent frequency value distribution datasets M, the method identifies the continuity of the effectiveness of the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity within the time period T between adjacent time windows t. Based on at least two consecutive valid identifications, the method determines that the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity within the time period T is effective. This allows for real-time autonomous adaptive learning of occasional interference actions in environmental interference, adapting to different installation environments and environmental changes, thereby improving the accuracy of human activity detection.

[0013] One objective of this invention is to provide an environment-adaptive microwave detection device and its environment-adaptive method. Based on the objective of validating the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity within a time period T, the environment-adaptive microwave detection device and its environment-adaptive method, within a set or objectively existing time period T, acquires the frequency value distribution of the Doppler intermediate frequency signal in the frequency domain for at least two time windows t through time-frequency conversion. It then selects at least one frequency value with the same amplitude sequence based on the amplitude of each frequency value to form a frequency value distribution dataset M corresponding to each time window t. Furthermore, it compares at least one pair of frequency value combinations belonging to different frequency value distribution datasets M and having the same amplitude sequence within the frequency value distribution dataset M, identifying frequency value combinations with a frequency difference greater than or equal to a preset frequency difference value Δf as valid frequency value combinations. Thus, based on the existence or absence of valid frequency value combinations, the effectiveness of the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity within each time window t is determined.

[0014] One objective of this invention is to provide an environment-adaptive microwave detection device and its environment-adaptive method. Each frequency value in the frequency distribution dataset M also includes the amplitude corresponding to that frequency value. When comparing at least one pair of frequency value combinations belonging to different frequency distribution datasets M and having the same amplitude sequence, a frequency value combination greater than or equal to a preset frequency difference value Δf and a preset amplitude difference value ΔV is considered a valid frequency value combination. This allows for the identification of the validity of the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity movements at each time window t based on the existence or absence of valid frequency value combinations.

[0015] One object of the present invention is to provide an environment-adaptive microwave detection device and its environment-adaptive method, wherein, based on the purpose of further accurately identifying the effectiveness of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions within a time period T, the environment-adaptive method further identifies the effectiveness of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions within a time period T based on the ratio of the number of effective frequency value combinations to the total number of frequency value combinations in a pair of frequency value distribution datasets M being greater than or equal to a preset ratio.

[0016] One object of the present invention is to provide an environment-adaptive microwave detection device and its environment-adaptive method. Given the continuity of normal human activity within adjacent time windows t, and based on the effectiveness of identifying the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity within a time period T, the environment-adaptive microwave detection device and its environment-adaptive method, within a set or objectively existing time period T, acquire the frequency distribution of the Doppler intermediate frequency signal in the frequency domain for at least three time windows t through time-frequency conversion. Furthermore, it selects at least one frequency value with the same amplitude sequence according to the order of amplitude corresponding to each frequency value to form a frequency corresponding to each time window t. The system uses a frequency distribution dataset M and compares frequency value combinations belonging to different frequency distribution datasets M but having the same amplitude sequence in adjacent frequency value distribution datasets M to identify the continuity of the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity actions within a time period T between adjacent time windows t. Based on at least two consecutive valid identifications, the system determines that the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity actions within a time period T is valid. This enables real-time autonomous adaptive learning of occasional interference actions in environmental interference actions to adapt to different installation environments and environmental changes, thereby improving the accuracy of human activity detection.

[0017] One objective of this invention is to provide an environment-adaptive microwave detection device and its environment-adaptive method. Given the inherent presence of power frequency interference in environmental interference, the environment-adaptive method further includes a filtering step for the Doppler intermediate frequency signal, including but not limited to filtering the Doppler intermediate frequency signal in analog form, filtering the Doppler intermediate frequency signal in digital form, and filtering the corresponding frequency values ​​of the Doppler intermediate frequency signal in the frequency domain based on a time-frequency conversion step. This filtering step removes signals corresponding to power frequency interference frequencies, thereby ensuring the correlation between the Doppler intermediate frequency signal and human actions and environmental interference actions. This facilitates the subsequent accurate identification of the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity actions.

[0018] One objective of this invention is to provide an environment-adaptive microwave detection device and its environment-adaptive method. The environment-adaptive method further selects the Doppler intermediate frequency signal within a frequency range of less than or equal to 1 kHz based on a filtering step of the Doppler intermediate frequency signal. This filters out signals corresponding to high-frequency electromagnetic interference frequencies in the Doppler intermediate frequency signal, thereby ensuring the correlation between the Doppler intermediate frequency signal and human actions and environmental interference actions. This facilitates the subsequent accurate identification of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions.

[0019] One objective of this invention is to provide an environment-adaptive microwave detection device and its environment-adaptive method. The environment-adaptive method further selects a Doppler intermediate frequency signal of greater than or equal to 3 Hz within a frequency range less than or equal to 1 kHz based on a filtering process of the Doppler intermediate frequency signal. This ensures the correlation between the Doppler intermediate frequency signal and human movement and environmental interference based on the correspondence between the Doppler intermediate frequency signal below 3 Hz and low-frequency interference and the movement interference of small objects. Therefore, it is beneficial for accurately identifying the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity in subsequent applications.

[0020] According to one aspect of the present invention, the present invention provides an environment adaptation method for an environment-adaptive microwave detection device, the environment adaptation method comprising the following steps:

[0021] (A) A Doppler intermediate frequency signal is digitally processed to form a time-domain digital information code by sampling and quantizing the Doppler intermediate frequency signal in the time domain. The time-domain digital information code corresponds to the amplitude information of the Doppler intermediate frequency signal at different time points. The Doppler intermediate frequency signal is a time-domain signal based on the Doppler effect principle that corresponds to the frequency / phase difference between a microwave beam and a reflected echo formed by the microwave beam being reflected by a corresponding object.

[0022] (B) At least two time windows t are time-frequency converted within a time period T to generate frequency-domain digital information codes corresponding to each time window t, wherein the frequency-domain digital information codes are frequency value distribution datasets M of the Doppler intermediate frequency signal corresponding to the time window t in the frequency domain; and

[0023] (C) Retrieve at least one pair of frequency domain digital information codes, and based on the comparison between the frequency difference of frequency value combinations belonging to different frequency value distribution datasets M in the pair of frequency value distribution datasets M corresponding to the retrieved pair of frequency domain digital information codes and a preset frequency difference value Δf, identify the validity of the correspondence between the frequency value in the frequency value combination and the human activity action according to the correspondence between the fluctuation range of each frequency value of the Doppler intermediate frequency signal in the frequency domain and the acceleration range of the corresponding action within the time period T, and identify the validity of the correspondence between the Doppler intermediate frequency signal and the human activity action within the time period T.

[0024] In one embodiment, in step (C), the frequency value combination with a frequency difference less than a preset frequency difference value Δf is used as the frequency value of the fluctuation corresponding to the periodic interference action in the environmental interference action, thereby identifying the validity of the correspondence between the frequency value in the frequency value combination and the human activity action based on the identification of the frequency value of the fluctuation corresponding to the periodic interference action in the environmental interference action.

[0025] In one embodiment, each frequency value in the frequency distribution dataset M further includes the amplitude corresponding to the frequency value. In step (C), the frequency value combination with a frequency difference less than a preset frequency difference value Δf and an amplitude difference less than a preset amplitude difference value ΔV is used as the frequency value of the fluctuation corresponding to the periodic interference action in the environmental interference action. Based on the identification of the frequency value of the fluctuation corresponding to the periodic interference action in the environmental interference action, the validity of the correspondence between the frequency value in the frequency value combination and the human activity action is identified.

[0026] In one embodiment, in step (C), a frequency value is defined as a frequency value in which the frequency difference between any frequency value in one frequency value distribution dataset M and any frequency value in another frequency value distribution dataset M is greater than or equal to a preset frequency difference value Δf. This is used to identify the validity of the correspondence between the frequency value in the corresponding frequency value combination and the human activity action based on the recognition of the frequency value of the fluctuation corresponding to the human activity action.

[0027] In one embodiment, each frequency value in the frequency distribution dataset M further includes the amplitude corresponding to the frequency value. In step (C), a valid frequency value is defined as a frequency whose frequency difference between any frequency value in one frequency distribution dataset M and any frequency value in another frequency distribution dataset M is greater than or equal to a preset frequency difference value Δf. A valid frequency value combination is defined as a frequency value combination in which both frequency values ​​in each frequency value combination are valid frequency values ​​and the difference between the amplitudes corresponding to the two valid frequency values ​​is greater than or equal to a preset amplitude difference value ΔV. Thus, based on the identification of the frequency values ​​of fluctuations corresponding to human activity movements, the validity of the correspondence between the frequency values ​​in the frequency value combination and human activity movements is identified.

[0028] In one embodiment, in step (B), after obtaining the frequency distribution of the Doppler intermediate frequency signal in the frequency domain corresponding to each of the time windows t by time-frequency conversion of at least two time windows t using time-domain digital information encoding, a corresponding number of frequency values ​​are further selected to form the frequency domain digital information encoding corresponding to each of the frequency value distribution datasets M according to the limit requirements of the amplitude corresponding to each frequency value.

[0029] In one embodiment, in step (B), after obtaining the frequency distribution of the Doppler intermediate frequency signal in the frequency domain corresponding to each of the time windows t by time-frequency conversion of at least two time windows t using time-domain digital information encoding, at least one frequency value with the same amplitude sequence is selected according to the high and low order of the amplitude corresponding to each frequency value to form the frequency domain digital information encoding corresponding to the frequency distribution dataset M.

[0030] In one embodiment, in step (C), the frequency value or frequency value combination that is identified as having a valid correspondence with human activity is further identified as a valid frequency value or valid frequency value combination. This is based on the fact that the ratio of the number of valid frequency values ​​to the total number of frequency values ​​in the frequency value distribution dataset M is greater than or equal to a preset ratio, or based on the fact that the ratio of the number of valid frequency value combinations to the total number of frequency value combinations in a pair of frequency value distribution datasets M is greater than or equal to a preset ratio. This identifies the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and the human activity in the corresponding time window t as valid.

[0031] In one embodiment, in step (B), the number of time windows t is at least three, and in step (C), by comparing the frequency value combinations belonging to different frequency value distribution datasets M in adjacent frequency value distribution datasets M, the continuity of the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T is identified. Based on at least two consecutive valid identifications, the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T is determined to be valid, thereby enabling autonomous adaptive learning of occasional interference actions in environmental interference actions.

[0032] In one embodiment, in step (C), the frequency difference of at least one pair of frequency value combinations belonging to different frequency value distribution datasets M and having the same amplitude sequence is compared with a preset frequency difference value Δf. Frequency value combinations with a frequency difference greater than or equal to the preset frequency difference value Δf are considered valid frequency value combinations. Thus, based on the identification of the frequency values ​​of fluctuations corresponding to human activity movements, the validity of the correspondence between the frequency values ​​in the frequency value combination and human activity movements is identified.

[0033] In one embodiment, each frequency value in the frequency distribution dataset M further includes the amplitude corresponding to the frequency value. In step (C), by comparing the frequency difference of at least one pair of frequency value combinations belonging to different frequency distribution datasets M and having the same amplitude order with a preset frequency difference value Δf, and comparing the amplitude difference of the frequency value combination with a preset amplitude difference value ΔV, frequency value combinations that are greater than or equal to the preset frequency difference value Δf and greater than or equal to the preset amplitude difference value ΔV are identified as valid frequency value combinations. Thus, based on the identification of the frequency values ​​of fluctuations corresponding to human activity movements, the validity of the correspondence between the frequency values ​​in the frequency value combination and human activity movements is determined.

[0034] In one embodiment, the environmental adaptation method of the environmental adaptive microwave detection device further includes an amplification process for the Doppler intermediate frequency signal in analog signal form prior to step (A).

[0035] In one embodiment, the environmental adaptation method of the environmental adaptive microwave detection device further includes a filtering step on the Doppler intermediate frequency signal to filter out signals corresponding to power frequency interference frequencies in the Doppler intermediate frequency signal based on the filtering step.

[0036] In one embodiment, the environmental adaptation method of the environmental adaptive microwave detection device is based on a filtering step of the Doppler intermediate frequency signal, selecting the Doppler intermediate frequency signal within a frequency range of less than or equal to 1 kHz.

[0037] In one embodiment, the environmental adaptation method of the environmental adaptive microwave detection device is based on a filtering step of the Doppler intermediate frequency signal, selecting the Doppler intermediate frequency signal with a frequency greater than or equal to 3 Hz within a frequency range of less than or equal to 1 kHz.

[0038] In one embodiment, the duration of the time period T is less than 2 seconds.

[0039] In one embodiment, the preset frequency difference value Δf is set within a range of greater than or equal to 1 Hz and less than or equal to 5 Hz.

[0040] According to another aspect of the present invention, the present invention also provides an environment-adaptive microwave detection device, which is configured to be powered by an excitation signal to emit a microwave beam at a frequency corresponding to the excitation signal to a corresponding target space, thereby forming a detection area in the target space, and to receive a reflected echo formed by the microwave beam being reflected by a corresponding object in the detection area and transmit an echo signal corresponding to the frequency of the reflected echo to a mixing and detection unit, so as to output a Doppler intermediate frequency signal corresponding to the frequency / phase difference between the excitation signal and the echo signal based on the mixing and detection unit, and to process the Doppler intermediate frequency signal based on the following steps:

[0041] (A) The Doppler intermediate frequency signal is digitally processed to form a time-domain digital information code by sampling and quantizing the Doppler intermediate frequency signal in the time domain. The time-domain digital information code corresponds to the amplitude information of the Doppler intermediate frequency signal at different time points.

[0042] (B) At least two time windows t are time-frequency converted within a time period T to generate frequency-domain digital information codes corresponding to each time window t, wherein the frequency-domain digital information codes are frequency value distribution datasets M of the Doppler intermediate frequency signal corresponding to the time window t in the frequency domain; and

[0043] (C) Retrieve at least one pair of frequency domain digital information codes, and based on the comparison between the frequency difference of frequency value combinations belonging to different frequency value distribution datasets M in the pair of frequency value distribution datasets M corresponding to the retrieved pair of frequency domain digital information codes and a preset frequency difference value Δf, identify the validity of the correspondence between the frequency value in the frequency value combination and human activity, and identify the validity of the correspondence between the Doppler intermediate frequency signal and human activity within the time period T.

[0044] The further objects and advantages of the invention will become fully apparent from the following description and accompanying drawings. Attached Figure Description

[0045] Figure 1 This is a logical schematic diagram of an environmental adaptive method for an environmental adaptive microwave detection device according to an embodiment of the present invention.

[0046] Figure 2A This is a logical diagram illustrating a comparison method between the frequency difference of a corresponding frequency value combination and a preset frequency difference value in the environmental adaptation method of the environmental adaptive microwave detection device according to the above embodiments of the present invention.

[0047] Figure 2B This is a logical diagram illustrating another comparison method between the frequency difference of a corresponding frequency value combination and a preset frequency difference value in the environmental adaptation method of the environmental adaptive microwave detection device according to the above embodiments of the present invention.

[0048] Figure 3 This is a logical diagram illustrating another comparison method between the frequency difference of a corresponding frequency value combination and a preset frequency difference value in the environmental adaptation method of the environmental adaptive microwave detection device according to the above embodiments of the present invention. Detailed Implementation

[0049] The following description is intended to disclose the present invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art. The basic principles of the invention defined in the following description can be applied to other embodiments, modifications, improvements, equivalents, and other technical solutions that do not depart from the spirit and scope of the invention.

[0050] It is understood that the term "a" should be understood as "at least one" or "one or more", that is, in one embodiment, the number of an element can be one, while in another embodiment, the number of the element can be multiple, and the term "a" should not be understood as a limitation on the number.

[0051] This invention provides an environment-adaptive microwave detection device and its environment-adaptive method. The device and method can autonomously learn from the detection area to eliminate interference from environmental disturbances, thereby improving the accuracy of the device's feedback on human activity within the detection area. This adapts to different installation environments and environmental changes, enhancing the accuracy of human activity detection and thus facilitating its application in the field of intelligent technology.

[0052] Specifically, the environmentally adaptive microwave detection device, when powered, is fed by an excitation signal to emit a microwave beam at a frequency corresponding to the excitation signal to a target space, thereby forming the detection area in the target space. It also receives a reflected echo formed by the microwave beam reflected by a corresponding object within the detection area and transmits an echo signal corresponding to the frequency of the reflected echo to a mixing and detection unit. The mixing and detection unit mixes the excitation signal and the echo signal to output a Doppler intermediate frequency signal corresponding to the frequency / phase difference between the excitation signal and the echo signal. Based on the Doppler effect, when the object reflecting the microwave beam is in motion... The echo signal and the excitation signal have a certain frequency / phase difference, resulting in corresponding amplitude fluctuations in the Doppler intermediate frequency signal. That is, the Doppler intermediate frequency signal is a time-domain signal, with time on the horizontal axis and amplitude on the vertical axis. The amplitude of the Doppler intermediate frequency signal is simultaneously related to the size of the reflecting surface of the moving object, the intensity of its motion, and its distance from the microwave detector. It can be understood that, at any given moment, the size of the reflecting surface of the moving object and its distance from the microwave detector can be considered constant. Therefore, the amplitude of the Doppler intermediate frequency signal can characterize the intensity of the moving object's motion in the time domain, i.e., the Doppler frequency shift f. d , where f d =2f0*v*cosθ / c, where f0 is the frequency of the excitation signal, v*cosθ is the velocity component of the moving object in the direction toward the microwave detector, i.e., v is the velocity of the moving object, θ is the angle between the velocity direction of the moving object and the direction toward the microwave detector, and c is the transmission speed of electromagnetic waves, which is taken as the speed of light.

[0053] Furthermore, although the frequency range of periodic interference actions in environmental interference actions (such as the mechanical actions and mechanical vibrations caused by air conditioners, exhaust fans, and electric fans during operation) may overlap with the frequency range of human body movements, the acceleration range of human body movements is wider than that of periodic mechanical interference actions, especially the movements of limbs in human movement. This is represented by the difference in the frequency fluctuation range of the Doppler intermediate frequency signal in the frequency domain over a period of time T. In other words, within the time period T, the fluctuation range of the Doppler intermediate frequency signal corresponding to human activity in the frequency domain is wider than the fluctuation range of the frequency corresponding to periodic interference actions in environmental interference. Therefore, the environmental adaptive microwave detection device and its environmental adaptive method of the present invention, based on the difference in the fluctuation range of each frequency value of the Doppler intermediate frequency signal in the frequency domain within a time period T, identifies the effectiveness of the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity, in order to determine whether there is human activity in the detection area within the time period T. Thus, within at least one artificially set time period T, based on the identification of the effectiveness of the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity, the device memorizes the frequency values ​​of the Doppler intermediate frequency signal corresponding to periodic interference actions in the frequency domain, and uses the memorized frequency values ​​as the subsequent frequency values ​​of the Doppler intermediate frequency signal corresponding to periodic interference actions in the frequency domain, identifying the correlation between the subsequent frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity. The effectiveness of the correspondence between actions can be achieved by: first, through a human-set memory based on the time period T, enabling autonomous adaptive learning of periodic interference actions in environmental interference; second, through real-time identification of the effectiveness of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions within the objectively existing time period T, enabling autonomous adaptive learning of periodic interference actions in environmental interference; third, through real-time identification of the effectiveness of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions within the objectively existing time period T, memorizing at least one time period T's frequency value corresponding to a periodic interference action in the frequency domain of the Doppler intermediate frequency signal, and in subsequent real-time identification processes, using the memorized frequency value to correspond to the periodic interference action in the frequency domain of the Doppler intermediate frequency signal, avoiding repeated identification of the memorized frequency value, thereby accelerating the response time of the environmental adaptive microwave detection device and its environmental adaptive method. This improves the accuracy of human activity detection by adapting to different installation environments and environmental changes.

[0054] Specifically, after obtaining the Doppler intermediate frequency signal, the environment-adaptive microwave detection device and its environment-adaptive method acquire, within a set or objectively existing time period T, at least two time windows t of the Doppler intermediate frequency signal in the frequency domain using time-frequency conversion, and identify the effectiveness of the correspondence between the frequency values ​​in the frequency value combination and human activity by comparing the frequency difference of at least one pair of frequency value combinations belonging to different frequency value distribution datasets M with a preset frequency difference value Δf. This identification also identifies the effectiveness of the correspondence between the Doppler intermediate frequency signal and human activity within the time period T.

[0055] That is to say, referring to the accompanying drawings of the present invention. Figure 1 As shown, an environmental adaptation method of an environmental adaptive microwave detection device according to an embodiment of the present invention is illustrated. The environmental adaptation method of the environmental adaptive microwave detection device includes the following steps:

[0056] (A) A Doppler intermediate frequency signal is digitally processed to form a time-domain digital information code by sampling and quantizing the Doppler intermediate frequency signal in the time domain. The time-domain digital information code corresponds to the amplitude information of the Doppler intermediate frequency signal at different time points. The Doppler intermediate frequency signal is a time-domain signal based on the Doppler effect principle that corresponds to the frequency / phase difference between a microwave beam and a reflected echo formed by the microwave beam being reflected by a corresponding object.

[0057] (B) At least two time windows t are time-frequency converted within a time period T to generate frequency-domain digital information codes corresponding to each time window t, wherein the frequency-domain digital information codes are frequency value distribution datasets M of the Doppler intermediate frequency signal corresponding to the time window t in the frequency domain; and

[0058] (C) Retrieve at least one pair of frequency domain digital information codes, and based on the comparison between the frequency difference of frequency value combinations belonging to different frequency value distribution datasets M in the pair of frequency value distribution datasets M corresponding to the retrieved pair of frequency domain digital information codes and a preset frequency difference value Δf, identify the validity of the correspondence between the frequency value in the frequency value combination and human activity, and identify the validity of the correspondence between the Doppler intermediate frequency signal and human activity within the time period T.

[0059] It is worth mentioning that, in step (B), unlike the existing method of obtaining the frequency fluctuation signal of the Doppler signal over time by frequency domain analysis of the Doppler intermediate frequency signal, this step is specifically embodied in the method of obtaining the amplitude information of the Doppler intermediate frequency signal in the frequency domain at different time windows based on time-frequency analysis of the time-domain digital information encoding. The frequency values ​​in the frequency value distribution dataset M are the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain at the corresponding time window t, rather than the frequency values ​​of the fluctuation signal. On the one hand, they have completely different characterization meanings. On the other hand, the acquisition time of the frequency values ​​in the frequency value distribution dataset M corresponds to the period range corresponding to the frequency of the Doppler intermediate frequency signal, which can effectively reduce the delay generated by step (B). Specifically, in the embodiments of the present invention, the duration of the corresponding time window t is allowed to be set within a duration of less than 1 second. For example, in some embodiments of the present invention, the duration of the time window t is set to 180 milliseconds. Therefore, the environmental adaptive microwave detection device and its environmental adaptive method of the present invention, based on the fluctuation range difference of each frequency value of the Doppler intermediate frequency signal in the frequency domain within a time period T, effectively identifies the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity movements. Compared with the existing correspondence between the frequency of the fluctuation signal and the frequency of object movement, the method of identifying the corresponding frequency of movement by selecting the frequency of the fluctuation signal has the advantage of low latency and has a good user experience in the field of intelligent applications.

[0060] Furthermore, since the frequency of the Doppler intermediate frequency signal is simultaneously related to the frequency of the excitation signal / the microwave beam, that is, the acquisition time of the frequency values ​​in the frequency distribution dataset M corresponds to the period range corresponding to the frequency of the Doppler intermediate frequency signal and is related to the frequency of the excitation signal / the microwave beam, the preferred duration of the time window t may not be the same based on different frequency selections of the excitation signal / the microwave beam. However, the duration of the time window t can still be set within a duration of less than 1 second, and the duration of the time period T can also be selected within a duration of less than 2 seconds. Within this range, the present invention does not limit the optimized duration of the time window t and the optimized duration of the time period T.

[0061] Furthermore, the acceleration range of human activity is wider than that of periodic mechanical disturbances, which is characterized by the difference in the frequency fluctuation range of the Doppler intermediate frequency signal in the frequency domain over a period of time T. However, since the frequency of the Doppler intermediate frequency signal is also related to the frequency of the excitation signal / microwave beam, the preferred value range of the preset frequency difference value Δf is not necessarily the same based on the different frequency selections of the excitation signal / microwave beam, but it remains within the range of (3±2)Hz, that is, greater than or equal to 1Hz and less than or equal to 5Hz. Based on the technical solution disclosed in this invention, the preferred value range of the preset frequency difference value Δf can be easily obtained through experimental verification based on the specific frequency selection of the excitation signal / microwave beam, which does not constitute a limitation of this invention.

[0062] In particular, refer to the accompanying drawings of the specification of this invention. Figure 2A As shown, based on the purpose of identifying the effectiveness of the correspondence between the Doppler intermediate frequency signal and human activity within a time period T, according to step (C), a comparison method is illustrated between the frequency difference of the frequency value combinations belonging to different frequency value distribution datasets M in the retrieved frequency domain digital information encoding pair and the preset frequency difference value Δf. Corresponding to step (C), based on the frequency value combinations (f) belonging to different frequency value distribution datasets M in the retrieved frequency domain digital information encoding pair... M1 f M2 The frequency difference |f M1 -f M2 |Comparison with the preset frequency difference value Δf, using the frequency difference |f M1 -f M2 The combination of frequency values ​​less than the preset frequency difference value Δf (f M1 f M2 ) is the frequency value of the fluctuation corresponding to the periodic disturbance action in the environmental disturbance action, and based on the identification of the frequency value of the fluctuation corresponding to the periodic disturbance action in the environmental disturbance action, the frequency value combination (f) is identified. M1 f M2 The validity of the correspondence between the frequency value in the Doppler intermediate frequency signal and human activity is determined by identifying the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity in each time window t, and at the same time, the validity of the correspondence between the Doppler intermediate frequency signal and human activity in the time period T is determined.

[0063] Furthermore, given that the intensity of periodic interference actions in environmental interference is relatively stable, corresponding to the difference in amplitude fluctuation range of the corresponding Doppler intermediate frequency signal in the frequency domain within a time period T, that is, within this time period T, the amplitude fluctuation range of the Doppler intermediate frequency signal corresponding to the frequency value of human activity in the frequency domain is wider than the amplitude fluctuation range corresponding to the frequency value of periodic interference actions in environmental interference. The environmental adaptive microwave detection device and its environmental adaptive method further identify the effectiveness of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity based on the difference in amplitude fluctuation range of the Doppler intermediate frequency signal corresponding to the frequency value in the frequency domain within this time period T, so as to further accurately determine whether there is human activity in the detection area within this time period T. Therefore, it can realize autonomous adaptive learning of periodic interference actions in environmental interference in real time or by memory to adapt to different installation environments and environmental changes, thereby improving the accuracy of human activity detection.

[0064] Please refer to the accompanying drawings in the specification of this invention. Figure 2B As shown, according to step (C), another comparison method is illustrated for the frequency difference between the frequency value combinations belonging to different frequency value distribution datasets M in the frequency value distribution dataset M corresponding to the retrieved frequency domain digital information encoding and the preset frequency difference value Δf. Figure 2A Based on the comparison method shown, each frequency value in the frequency distribution dataset M also includes the frequency value f. M The corresponding amplitude V M Corresponding to step (C), based on the frequency value combinations belonging to different frequency value distribution datasets M in the pair of frequency value distribution datasets M corresponding to the retrieved frequency domain digital information encoding [(f M1 V M1 ),(f M2 V M2 The frequency difference |f] M1 -f M2 |Comparison with the preset frequency difference value Δf, and amplitude difference|V M1 -V M2 |Comparison with the preset amplitude difference value ΔV, using the frequency difference|f M1 -f M2 |Less than the preset frequency difference value Δf and amplitude difference|V M1 -V M2 |Frequency combinations less than the preset amplitude difference value ΔV[(f M1 V M1 ),(f M2 V M2[)] represents the frequency value of the fluctuation corresponding to the periodic disturbance action in the environmental disturbance action, and based on the identification of the frequency value of the fluctuation corresponding to the periodic disturbance action in the environmental disturbance action, the combination of frequency values ​​is identified [(f M1 V M1 ),(f M2 V M2 The validity of the correspondence between the frequency value in the [] and human activity movements is determined, and the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity movements in each time window t is determined, thereby forming a determination of the validity of the correspondence between the Doppler intermediate frequency signal and human activity movements in the time period T.

[0065] Understandably, in other embodiments of the present invention, based on the purpose of validating the correspondence between the Doppler intermediate frequency signal and human activity within a time period T, according to step (C), another comparison method is described between the frequency difference of the frequency value combinations belonging to different frequency value distribution datasets M in the pair of frequency value distribution datasets M corresponding to the retrieved pair of frequency domain digital information codes and the preset frequency difference value Δf. Corresponding to step (C), based on the frequency value combinations (f) belonging to different frequency value distribution datasets M in the pair of frequency domain digital information codes... M1 f M2 The frequency difference |f M1 -f M2 The frequency value is determined by comparing the frequency difference with the preset frequency difference value Δf. The effective frequency value is the frequency value in which the frequency difference between any frequency value in one frequency value distribution dataset M and any frequency value in another frequency value distribution dataset M is greater than or equal to the preset frequency difference value Δf. Based on the identification of the frequency value of the fluctuation corresponding to human activity, the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity is identified in each time window t, so as to determine whether there is human activity in the detection area during the time period T between the two time windows t.

[0066] Similarly, it is understood that in other embodiments of the present invention, based on the above comparison method, each frequency value in the frequency distribution dataset M may optionally include the frequency value f. M The corresponding amplitude V M Corresponding to step (C), based on the frequency value combinations belonging to different frequency value distribution datasets M in the pair of frequency value distribution datasets M corresponding to the retrieved frequency domain digital information encoding [(f M1 V M1 ),(f M2 V M2 The frequency difference |f] M1 -f M2|Comparison with the preset frequency difference value Δf, and amplitude difference|V M1 -V M2 |Compared with a preset amplitude difference value ΔV, the frequency values ​​in which the frequency difference between any frequency value in one frequency distribution dataset M and any frequency value in another frequency distribution dataset M is greater than or equal to the preset frequency difference value Δf are considered valid frequency values. The frequency value combinations in which both frequency values ​​are valid and the difference between the amplitudes corresponding to the two valid frequency values ​​is greater than or equal to the preset amplitude difference value ΔV are considered valid frequency value combinations. Based on the recognition of the frequency values ​​of fluctuations corresponding to human activity movements, the frequency value combination [(f] is identified. M1 V M1 ),(f M2 V M2 The validity of the correspondence between the frequency value in the [] and human activity movements is determined, and the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity movements in each time window t is determined, thereby forming a determination of the validity of the correspondence between the Doppler intermediate frequency signal and human activity movements in the time period T.

[0067] It is worth mentioning that, in these embodiments of the invention, for the purpose of simplifying calculation, in step (B), after obtaining the frequency value distribution of the Doppler intermediate frequency signal in the frequency domain corresponding to each of the time windows t by time-frequency conversion of at least two time windows t within a set or objectively existing time period T, a corresponding number of frequency values ​​are further selected to form the frequency domain digital information encoding of each of the frequency value distribution datasets M according to the limit requirements of the amplitude corresponding to each frequency value.

[0068] Specifically, in these and other embodiments of the present invention, for the purpose of simplifying calculations, in step (B), after obtaining the frequency distribution of the Doppler intermediate frequency signal in the frequency domain corresponding to each time window t by time-frequency conversion of at least two time windows t using the time-domain digital information encoding, at least one frequency value with the same amplitude order is selected according to the high and low order of the amplitude corresponding to each frequency value to form the frequency domain digital information encoding corresponding to the frequency distribution dataset M. For example, according to the high and low order of the amplitude corresponding to each frequency value, two frequency values ​​with the first amplitude order and the second amplitude order are selected to form the frequency distribution dataset M. Corresponding to the frequency domain digital information encoding of the frequency distribution dataset M, the number of frequency values ​​in the frequency distribution dataset M corresponding to each time window t is the same and they have the same amplitude sequence. In step (C), by comparing the frequency difference of at least one pair of frequency value combinations belonging to different frequency distribution datasets M and having the same amplitude sequence with a preset frequency difference value Δf, the effectiveness of the correspondence between the frequency values ​​in the frequency value combination and human activity is identified, which in turn identifies the effectiveness of the correspondence between the Doppler intermediate frequency signal and human activity within the time period T.

[0069] Example, referring to the accompanying drawings of the specification of the present invention. Figure 3 As shown, according to step (C), another comparison method is illustrated for the frequency difference between the frequency value combinations belonging to different frequency value distribution datasets M in the frequency value distribution dataset M corresponding to the retrieved frequency domain digital information encoding and the preset frequency difference value Δf. Specifically, in step (B), within a set or objectively existing time period T, the frequency value distribution of the Doppler intermediate frequency signal in the frequency domain for at least two time windows t is obtained through time-frequency conversion. At least one frequency value with the same amplitude order is selected according to the amplitude of each frequency value to form the frequency value distribution dataset M corresponding to each time window t. Then, the number of frequency values ​​in the frequency value distribution dataset M corresponding to each time window t is the same, and they have the same amplitude order. And in step (C), the frequency difference (f) between the frequency value combinations belonging to different frequency value distribution datasets M and having the same amplitude order in at least one pair of frequency value distribution datasets M is compared with the preset frequency difference value Δf. M1 f M2 The frequency difference |f M1 -f M2 |Comparison with the preset frequency difference value Δf, using the frequency difference |f M1 -f M2 | Frequency value combinations that are greater than or equal to a preset frequency difference value Δf are considered valid frequency value combinations. Thus, the existence or absence of valid frequency value combinations is used to identify the validity of the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity movements in each time window t.

[0070] It is understandable that, due to the frequency combination (f) M1 f M2 Let f be a combination of frequency values ​​from a pair of frequency distribution datasets M that belong to different frequency distribution datasets M but have the same ordinal value. Let f be the frequency difference |f|. M1 -f M2 The comparison method of considering frequency combinations greater than or equal to the preset frequency difference value Δf as effective frequency combinations can be understood as using the frequency difference |f M1 -f M2 The combination of frequency values ​​less than the preset frequency difference value Δf (f M1 f M2 The frequency value of the fluctuation corresponding to the periodic interference action in the environmental interference action is not limited in this invention.

[0071] It is worth mentioning that, based on the above comparison method, each frequency value in the frequency distribution dataset M may also optionally include the frequency value f. M The corresponding amplitude V M Corresponding to step (C), at least one pair of frequency value combinations from frequency value distribution datasets M belonging to different frequency value distribution datasets M and having the same amplitude value order [(f M1 VM1 ),(f M2 V M2 The frequency difference |f] M1 -f M2 |Comparison with the preset frequency difference value Δf, and amplitude difference|V M1 -V M2 |Compared with the preset amplitude difference value ΔV, the frequency combination [(f] is greater than or equal to the preset frequency difference value Δf and greater than or equal to the preset amplitude difference value ΔV. M1 V M1 ),(f M2 V M2 The effective frequency value combination is used to identify the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in each time window t based on the existence or absence of the effective frequency value combination.

[0072] Similarly, it is understandable that, due to the frequency combination [(f M1 V M1 ),(f M2 V M2 [)] represents a combination of frequency values ​​from a frequency distribution dataset M that belong to different frequency distribution datasets M but have the same amplitude order. For frequency value combinations with a frequency difference greater than or equal to a preset frequency difference value Δf and a amplitude difference value ΔV, [(f] M1 V M1 ),(f M2 V M2 The comparison method for effective frequency combinations can be understood as using the frequency difference |f M1 -f M2 |Less than the preset frequency difference value Δf and amplitude difference|V M1 -V M2 |Frequency combinations less than the preset amplitude difference value ΔV[(f M1 V M1 ),(f M2 V M2 The frequency value of the fluctuation corresponding to the periodic interference action in the environmental interference action is not limited in this invention.

[0073] It is worth mentioning that, in the above embodiments of the present invention, in step (C), based on the purpose of further accurately identifying the validity of the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity movements in each time window t, the frequency value combination identified as having a valid correspondence with human activity movements is further identified as a valid frequency value combination, or the frequency value in the frequency value combination identified as having a valid correspondence with human activity movements is identified as a valid frequency value. Based on the ratio of the number of valid frequency value combinations to the total number of frequency value combinations in a pair of frequency value distribution datasets M being greater than or equal to a preset ratio, or based on the ratio of the number of valid frequency values ​​to the total number of frequency values ​​in the frequency value distribution dataset M being greater than or equal to a preset ratio, the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activity movements in the corresponding time window t is identified as valid, and at the same time, the validity of the correspondence between the Doppler intermediate frequency signal and human activity movements in the time period T is identified.

[0074] Specifically, given the continuity of normal human activities within adjacent time windows t, and based on the purpose of validating the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activities within a time period T, in some embodiments of the present invention, the environmentally adaptive microwave detection device and its environmental adaptation method, in step (B), acquire at least three time windows t of the frequency value distribution dataset M of the Doppler intermediate frequency signal in the frequency domain through time-frequency conversion within a set or objectively existing time period T. In step (C), by comparing the frequency value combinations belonging to different frequency value distribution datasets M in adjacent frequency value distribution datasets M, the continuity of the validity of the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activities within the time period T is identified. Based on at least two consecutive valid identifications, the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and human activities within the time period T is determined to be valid. This enables real-time autonomous adaptive learning of occasional interference actions in environmental interference actions, thereby improving the accuracy of human activity detection by adapting to different installation environments and environmental changes.

[0075] For example, in one embodiment of the present invention, in step (B), the environmentally adaptive microwave detection device and its environmentally adaptive method acquire, within an 800-millisecond time period T, the frequency distribution of the Doppler intermediate frequency signal in the frequency domain for five consecutive time windows t in time through time-frequency conversion, and select at least one frequency value with the same amplitude sequence according to the amplitude corresponding to each frequency value to form the frequency distribution dataset M corresponding to each time window t. In step (C), by comparing the frequency value combinations belonging to different frequency distribution datasets M and having the same amplitude sequence in adjacent frequency distribution datasets M, the frequency value of the Doppler intermediate frequency signal in the frequency domain is identified. The validity of the correspondence between human activity movements and the continuity of the correspondence within a time period T is determined by identifying the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and the human activity movements based on at least two adjacent time windows t, or by identifying the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and the human activity movements for at least two consecutive time periods between adjacent time windows t. This determines that the correspondence between the frequency values ​​of the Doppler intermediate frequency signal in the frequency domain and the human activity movements within the time period T is valid. This enables real-time autonomous adaptive learning of occasional interference movements in environmental interference actions, thereby improving the accuracy of human activity detection by adapting to different installation environments and environmental changes.

[0076] It is worth mentioning that the understanding of adjacent time windows t is not limited to the two time windows t being sequential in time, that is, there is a certain time interval between two adjacent time windows t, and the present invention does not limit this.

[0077] It is worth mentioning that, in these embodiments of the present invention, the environmental adaptation method of the environmental adaptive microwave detection device further includes an amplification processing step for the Doppler intermediate frequency signal, and preferably the Doppler intermediate frequency signal in analog signal form is amplified before step (A) so that the intensity of the Doppler intermediate frequency signal can be adapted to be digitized in step (A).

[0078] Furthermore, given the presence of 50Hz or 60Hz power frequency interference in the environment, the environmental adaptive method of the environmental adaptive microwave detection device further includes a filtering process for the Doppler intermediate frequency signal, including but not limited to filtering the Doppler intermediate frequency signal in analog form before step (A), filtering the Doppler intermediate frequency signal in digital form in step (A), and filtering the corresponding frequency value of the Doppler intermediate frequency signal in the frequency domain in step (B) based on a time-frequency conversion step, so as to filter out the signal corresponding to the power frequency interference frequency based on the filtering process, thereby ensuring the correlation between the Doppler intermediate frequency signal and human body movements and environmental interference actions. Therefore, it is beneficial to accurately identify the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human body movements in subsequent steps.

[0079] Preferably, in the above embodiments of the present invention, the environmental adaptation method of the environmental adaptive microwave detection device is further based on the filtering processing step of the Doppler intermediate frequency signal. The Doppler intermediate frequency signal is selected in a frequency range of less than or equal to 1 kHz to filter out the signal corresponding to the high-frequency electromagnetic interference frequency in the Doppler intermediate frequency signal, thereby ensuring the correlation between the Doppler intermediate frequency signal and human body movements and environmental interference actions. Therefore, it is beneficial to accurately identify the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human body movements in the subsequent process.

[0080] Optionally, in the above embodiments of the present invention, the environmental adaptation method of the environmental adaptive microwave detection device is further based on the filtering process of the Doppler intermediate frequency signal. The Doppler intermediate frequency signal with a frequency greater than or equal to 3 Hz is selected within a frequency range less than or equal to 1 kHz. Based on the correspondence between the Doppler intermediate frequency signal below 3 Hz and low-frequency interference and the motion interference of small objects, the correlation between the Doppler intermediate frequency signal and human motion and environmental interference is ensured. Therefore, it is beneficial to accurately identify the effectiveness of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human motion in subsequent operations.

[0081] Those skilled in the art should understand that the embodiments of the present invention described above and shown in the accompanying drawings are merely examples and do not limit the invention. The objectives of the present invention have been fully and effectively achieved. The functions and structural principles of the present invention have been shown and explained in the embodiments, and any modifications or variations of the embodiments of the present invention may be made without departing from the stated principles.

Claims

1. An environment-adaptive method for an environment-adaptive microwave detection device, characterized in that, Includes the following steps: (A) A Doppler intermediate frequency signal is digitally processed to form a time-domain digital information code by sampling and quantizing the Doppler intermediate frequency signal in the time domain. The time-domain digital information code corresponds to the amplitude information of the Doppler intermediate frequency signal at different time points. The Doppler intermediate frequency signal is a time-domain signal based on the Doppler effect principle that corresponds to the frequency / phase difference between a microwave beam and a reflected echo formed by the microwave beam being reflected by a corresponding object. (B) At least two time windows t are time-frequency converted within a time period T to generate frequency-domain digital information codes corresponding to each time window t, wherein the frequency-domain digital information codes are frequency value distribution datasets M of the Doppler intermediate frequency signal corresponding to the time window t in the frequency domain; and (C) Retrieve at least one pair of frequency domain digital information codes, and based on the comparison between the frequency difference of frequency value combinations belonging to different frequency value distribution datasets M in the pair of frequency value distribution datasets M corresponding to the retrieved pair of frequency domain digital information codes and a preset frequency difference value Δf, identify the validity of the correspondence between the frequency value in the frequency value combination and human activity, and identify the validity of the correspondence between the Doppler intermediate frequency signal and human activity within the time period T.

2. The environmental adaptation method of the environmental adaptive microwave detection device according to claim 1, wherein in step (C), the frequency value combination with a frequency difference less than a preset frequency difference value Δf is used as the frequency value of the fluctuation corresponding to the periodic interference action in the environmental interference action, thereby identifying the effectiveness of the correspondence between the frequency value in the frequency value combination and the human activity action based on the identification of the frequency value of the fluctuation corresponding to the periodic interference action in the environmental interference action.

3. The environmental adaptation method of the environmental adaptive microwave detection device according to claim 1, wherein each frequency value data in the frequency value distribution dataset M further includes the amplitude corresponding to the frequency value, wherein in step (C), the frequency value combination with a frequency difference less than a preset frequency difference value Δf and an amplitude difference less than a preset amplitude difference value ΔV is used as the frequency value of the fluctuation corresponding to the periodic interference action in the environmental interference action, thereby identifying the validity of the correspondence between the frequency value in the frequency value combination and the human activity action based on the identification of the frequency value of the fluctuation corresponding to the periodic interference action in the environmental interference action.

4. The environmental adaptation method of the environmental adaptive microwave detection device according to claim 1, wherein in step (C), the frequency value in which the frequency difference between any frequency value in one frequency value distribution dataset M and any frequency value in another frequency value distribution dataset M is greater than or equal to a preset frequency difference value Δf is taken as the effective frequency value, thereby identifying the validity of the correspondence between the frequency value in the corresponding frequency value combination and the human activity action based on the identification of the frequency value of the fluctuation corresponding to the human activity action.

5. The environmental adaptation method of the environmental adaptive microwave detection device according to claim 1, wherein each frequency value data in the frequency value distribution dataset M further includes the amplitude corresponding to the frequency value, wherein in step (C), a frequency value is considered valid if the frequency difference between any frequency value in one frequency value distribution dataset M and any frequency value in another frequency value distribution dataset M is greater than or equal to a preset frequency difference value Δf, and a frequency value combination is considered valid if both frequency values ​​in each frequency value combination are valid and the difference between the amplitudes corresponding to the two valid frequency values ​​is greater than or equal to a preset amplitude difference value ΔV, thereby identifying the validity of the correspondence between the frequency values ​​in the frequency value combination and the human activity based on the identification of the frequency values ​​of the fluctuations corresponding to human activity movements.

6. The environmental adaptation method of the environmental adaptive microwave detection device according to any one of claims 2 to 5, wherein in step (B), after obtaining the frequency value distribution of the Doppler intermediate frequency signal in the frequency domain corresponding to each of the time windows t by time-frequency conversion of at least two time windows t using the time-domain digital information encoding, a corresponding number of frequency values ​​are further selected to form the frequency domain digital information encoding of each of the frequency value distribution datasets M according to the limit requirements of the amplitude corresponding to each frequency value.

7. The environmental adaptation method of the environmental adaptive microwave detection device according to claim 6, wherein in step (C), the frequency value or frequency value combination that is identified as having a valid correspondence with human activity is further identified as a valid frequency value or valid frequency value combination, based on the ratio of the number of valid frequency values ​​to the total number of frequency values ​​in the frequency value distribution dataset M being greater than or equal to a preset ratio, or based on the ratio of the number of valid frequency value combinations to the total number of frequency value combinations in a pair of frequency value distribution datasets M being greater than or equal to a preset ratio, to identify the valid correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity in the corresponding time window t.

8. The environmental adaptation method of the environmental adaptive microwave detection device according to claim 7, wherein in step (B), the number of time windows t is at least three, wherein in step (C), by comparing the frequency value combinations belonging to different frequency value distribution datasets M in adjacent frequency value distribution datasets M, the continuity of the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T is identified, so as to determine the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T based on at least two consecutive valid identifications, thereby enabling autonomous adaptive learning of occasional interference actions in environmental interference actions.

9. The environmental adaptation method of the environmental adaptive microwave detection device according to claim 6, wherein in step (B), the number of time windows t is at least three, wherein in step (C), by comparing the frequency value combinations belonging to different frequency value distribution datasets M in adjacent frequency value distribution datasets M, the continuity of the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T is identified, so as to determine the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T based on at least two consecutive valid identifications, thereby enabling autonomous adaptive learning of occasional interference actions in environmental interference actions.

10. The environmental adaptation method of the environmental adaptive microwave detection device according to any one of claims 2 to 5, wherein in step (B), after obtaining the frequency distribution of the Doppler intermediate frequency signal in the frequency domain corresponding to each of the time windows t by time-frequency conversion of at least two time windows t using the time-domain digital information encoding, at least one frequency value with the same amplitude sequence is selected according to the high and low order of the amplitude corresponding to each frequency value to form the frequency domain digital information encoding corresponding to the frequency distribution dataset M.

11. The environmental adaptation method of the environmental adaptive microwave detection device according to claim 10, wherein in step (C), the frequency value or frequency value combination that is identified as having a valid correspondence with human activity is further identified as a valid frequency value or valid frequency value combination, based on the ratio of the number of valid frequency values ​​to the total number of frequency values ​​in the frequency value distribution dataset M being greater than or equal to a preset ratio, or based on the ratio of the number of valid frequency value combinations to the total number of frequency value combinations in a pair of frequency value distribution datasets M being greater than or equal to a preset ratio, to identify the valid correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity in the corresponding time window t.

12. The environmental adaptation method of the environmental adaptive microwave detection device according to claim 11, wherein in step (B), the number of time windows t is at least three, wherein in step (C), by comparing the frequency value combinations belonging to different frequency value distribution datasets M in adjacent frequency value distribution datasets M, the continuity of the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T is identified, so as to determine the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T based on at least two consecutive valid identifications, thereby enabling autonomous adaptive learning of occasional interference actions in environmental interference actions.

13. The environmental adaptation method of the environmental adaptive microwave detection device according to claim 10, wherein in step (B), the number of time windows t is at least three, wherein in step (C), by comparing the frequency value combinations belonging to different frequency value distribution datasets M in adjacent frequency value distribution datasets M, the continuity of the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T is identified, so as to determine the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T based on at least two consecutive valid identifications, thereby enabling autonomous adaptive learning of occasional interference actions in environmental interference actions.

14. The environmental adaptation method of the environmental adaptive microwave detection device according to claim 1, wherein in step (B), after obtaining the frequency distribution of the Doppler intermediate frequency signal in the frequency domain corresponding to each of the time windows t by time-frequency conversion of at least two time windows t using time-domain digital information encoding, at least one frequency value with the same amplitude sequence is selected according to the high and low order of the amplitude corresponding to each frequency value to form the frequency domain digital information encoding corresponding to the frequency distribution dataset M.

15. The environmental adaptation method of the environmental adaptive microwave detection device according to claim 14, wherein in step (C), by comparing the frequency difference of at least one pair of frequency value combinations belonging to different frequency value distribution datasets M and having the same amplitude sequence with a preset frequency difference value Δf, frequency value combinations with a frequency difference greater than or equal to the preset frequency difference value Δf are considered as valid frequency value combinations, thereby identifying the validity of the correspondence between the frequency values ​​in the frequency value combination and the human activity based on the identification of the frequency values ​​of the fluctuations corresponding to human activity movements.

16. The environmental adaptation method of the environmental adaptive microwave detection device according to claim 14, wherein each frequency value data in the frequency value distribution dataset M further includes the amplitude corresponding to the frequency value, wherein in step (C), by comparing the frequency difference of at least one pair of frequency value combinations belonging to different frequency value distribution datasets M and having the same amplitude value order with a preset frequency difference value Δf, and comparing the amplitude difference of the frequency value combination with a preset amplitude difference value ΔV, frequency value combinations that are greater than or equal to the preset frequency difference value Δf and greater than or equal to the preset amplitude difference value ΔV are considered as valid frequency value combinations, thereby identifying the validity of the correspondence between the frequency values ​​in the frequency value combination and the human activity based on the identification of the frequency values ​​of the fluctuations corresponding to human activity movements.

17. The environmental adaptation method of the environmental adaptive microwave detection device according to claim 15 or 16, wherein in step (C), the effective frequency value combination is further identified as a valid correspondence with human activity, or the frequency value in the effective frequency value combination is identified as a valid frequency value. Based on the ratio of the number of effective frequency value combinations to the total number of frequency value combinations in a pair of frequency value distribution datasets M being greater than or equal to a preset ratio, or based on the ratio of the number of effective frequency values ​​to the total number of frequency values ​​in the frequency value distribution dataset M being greater than or equal to a preset ratio, the effective correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and the human activity is identified as valid for the corresponding time window t.

18. The environmental adaptation method of the environmental adaptive microwave detection device according to claim 17, wherein in step (B), the number of time windows t is at least three, wherein in step (C), by comparing the frequency value combinations belonging to different frequency value distribution datasets M in adjacent frequency value distribution datasets M, the continuity of the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T is identified, so as to determine the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T based on at least two consecutive valid identifications, thereby enabling autonomous adaptive learning of occasional interference actions in environmental interference actions.

19. The environmental adaptation method of the environmental adaptive microwave detection device according to claim 15 or 16, wherein in step (B), the number of time windows t is at least three, wherein in step (C), by comparing the frequency value combinations belonging to different frequency value distribution datasets M in adjacent frequency value distribution datasets M, the continuity of the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T is identified, so as to determine the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T based on at least two consecutive valid identifications, thereby enabling autonomous adaptive learning of occasional interference actions in environmental interference actions.

20. The environmental adaptation method of the environmental adaptive microwave detection device according to any one of claims 1 to 5 and 14 to 16, wherein the environmental adaptation method of the environmental adaptive microwave detection device further includes an amplification processing step of the Doppler intermediate frequency signal in analog signal form before step (A).

21. The environmental adaptation method of the environmental adaptive microwave detection device according to any one of claims 1 to 5 and 14 to 16, wherein the environmental adaptation method of the environmental adaptive microwave detection device further includes a filtering step of the Doppler intermediate frequency signal to filter out signals corresponding to power frequency interference frequencies in the Doppler intermediate frequency signal based on the filtering step.

22. The environmental adaptation method of the environmental adaptive microwave detection device according to claim 21, wherein the environmental adaptation method of the environmental adaptive microwave detection device is based on a filtering process of the Doppler intermediate frequency signal, and selects the Doppler intermediate frequency signal within a frequency range of less than or equal to 1 kHz.

23. The environmental adaptation method of the environmental adaptive microwave detection device according to claim 22, wherein the environmental adaptation method of the environmental adaptive microwave detection device is based on the filtering processing step of the Doppler intermediate frequency signal, and selects the Doppler intermediate frequency signal of greater than or equal to 3Hz in a frequency range of less than or equal to 1kHz.

24. The environmental adaptation method of the environmental adaptive microwave detection device according to claim 23, wherein the duration of the time period T is less than 2 seconds.

25. The environmental adaptation method of the environmental adaptive microwave detection device according to claim 24, wherein the preset frequency difference value Δf is set in the range of greater than or equal to 1 Hz and less than or equal to 5 Hz.

26. An environment-adaptive microwave detection device, characterized in that, The environment-adaptive microwave detection device is configured to be powered by an excitation signal and emit a microwave beam at a frequency corresponding to the excitation signal to a target space, thereby forming a detection area in the target space. It also receives a reflected echo formed by the microwave beam reflected by a corresponding object within the detection area and transmits an echo signal corresponding to the frequency of the reflected echo to a mixing and detection unit. Based on the mixing and detection unit's mixing of the excitation signal and the echo signal, a Doppler intermediate frequency (IF) signal corresponding to the frequency / phase difference between the excitation signal and the echo signal is output. The Doppler IF signal is then processed based on the following steps: (A) The Doppler intermediate frequency signal is digitally processed to form a time-domain digital information code by sampling and quantizing the Doppler intermediate frequency signal in the time domain. The time-domain digital information code corresponds to the amplitude information of the Doppler intermediate frequency signal at different time points. (B) At least two time windows t are time-frequency converted within a time period T to generate frequency-domain digital information codes corresponding to each time window t, wherein the frequency-domain digital information codes are frequency value distribution datasets M of the Doppler intermediate frequency signal corresponding to the time window t in the frequency domain; and (C) Retrieve at least one pair of frequency domain digital information codes, and based on the comparison between the frequency difference of frequency value combinations belonging to different frequency value distribution datasets M in the pair of frequency value distribution datasets M corresponding to the retrieved pair of frequency domain digital information codes and a preset frequency difference value Δf, identify the validity of the correspondence between the frequency value in the frequency value combination and human activity, and identify the validity of the correspondence between the Doppler intermediate frequency signal and human activity within the time period T.

27. The environmental adaptive microwave detection device according to claim 26, wherein in step (C), a combination of frequency values ​​with a frequency difference less than a preset frequency difference value Δf is used as the frequency value of the fluctuation corresponding to the periodic interference action in the environmental interference action, thereby identifying the validity of the correspondence between the frequency value in the combination of frequency values ​​and the human activity action based on the identification of the frequency value of the fluctuation corresponding to the periodic interference action in the environmental interference action.

28. The environmental adaptive microwave detection device according to claim 26, wherein each frequency value data in the frequency value distribution dataset M further includes the amplitude corresponding to the frequency value, wherein in step (C), the frequency value combination with a frequency difference less than a preset frequency difference value Δf and an amplitude difference less than a preset amplitude difference value ΔV is used as the frequency value of the fluctuation corresponding to the periodic interference action in the environmental interference action, thereby identifying the validity of the correspondence between the frequency value in the frequency value combination and the human activity action based on the identification of the frequency value of the fluctuation corresponding to the periodic interference action in the environmental interference action.

29. The environmental adaptive microwave detection device according to claim 26, wherein in step (C), the frequency value in which the frequency difference between any frequency value in one frequency value distribution dataset M and any frequency value in another frequency value distribution dataset M is greater than or equal to a preset frequency difference value Δf is taken as the effective frequency value, thereby identifying the validity of the correspondence between the frequency value in the corresponding frequency value combination and the human activity action based on the identification of the frequency value of the fluctuation corresponding to the human activity action.

30. The environmental adaptive microwave detection device according to claim 26, wherein each frequency value in the frequency value distribution dataset M further includes the amplitude corresponding to the frequency value, wherein in step (C), a frequency value is considered valid if the frequency difference between any frequency value in one frequency value distribution dataset M and any frequency value in another frequency value distribution dataset M is greater than or equal to a preset frequency difference value Δf, and a frequency value combination is considered valid if both frequency values ​​in each frequency value combination are valid and the difference between the amplitudes corresponding to the two valid frequency values ​​is greater than or equal to a preset amplitude difference value ΔV, thereby identifying the validity of the correspondence between the frequency values ​​in the frequency value combination and the human activity based on the identification of the frequency values ​​of the fluctuations corresponding to human activity movements.

31. The environmental adaptive microwave detection device according to any one of claims 27 to 30, wherein in step (B), after obtaining the frequency distribution of the Doppler intermediate frequency signal in the frequency domain corresponding to each of the time windows t by time-frequency conversion of at least two time windows t using time-domain digital information encoding, a corresponding number of frequency values ​​are further selected to form the frequency domain digital information encoding of each frequency distribution dataset M according to the limit requirements of the amplitude corresponding to each frequency value.

32. The environmental adaptive microwave detection device according to claim 31, wherein in step (C), the frequency value or frequency value combination that is identified as having a valid correspondence with human activity is further identified as a valid frequency value or valid frequency value combination, based on the ratio of the number of valid frequency values ​​to the total number of frequency values ​​in the frequency value distribution dataset M being greater than or equal to a preset ratio, or based on the ratio of the number of valid frequency value combinations to the total number of frequency value combinations in a pair of frequency value distribution datasets M being greater than or equal to a preset ratio, to identify the valid correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity in the corresponding time window t.

33. The environmental adaptive microwave detection device according to claim 32, wherein in step (B), the number of time windows t is at least three, wherein in step (C), by comparing the frequency value combinations belonging to different frequency value distribution datasets M in adjacent frequency value distribution datasets M, the continuity of the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T is identified, so as to determine the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T based on at least two consecutive valid identifications, thereby enabling autonomous adaptive learning of occasional interference actions in environmental interference actions.

34. The environmental adaptive microwave detection device according to claim 31, wherein in step (B), the number of time windows t is at least three, wherein in step (C), by comparing the frequency value combinations belonging to different frequency value distribution datasets M in adjacent frequency value distribution datasets M, the continuity of the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T is identified, so as to determine the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T based on at least two consecutive valid identifications, thereby enabling autonomous adaptive learning of occasional interference actions in environmental interference actions.

35. The environmental adaptive microwave detection device according to any one of claims 27 to 30, wherein in step (B), after obtaining the frequency distribution of the Doppler intermediate frequency signal in the frequency domain corresponding to each of the time windows t by time-frequency conversion of at least two time windows t using the time-domain digital information encoding, at least one frequency value with the same amplitude sequence is selected according to the high and low order of the amplitude corresponding to each frequency value to form the frequency domain digital information encoding corresponding to the frequency distribution dataset M.

36. The environmental adaptive microwave detection device according to claim 35, wherein in step (C), the frequency value or frequency value combination that is identified as having a valid correspondence with human activity is further identified as a valid frequency value or valid frequency value combination, based on the ratio of the number of valid frequency values ​​to the total number of frequency values ​​in the frequency value distribution dataset M being greater than or equal to a preset ratio, or based on the ratio of the number of valid frequency value combinations to the total number of frequency value combinations in a pair of frequency value distribution datasets M being greater than or equal to a preset ratio, to identify the valid correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity in the corresponding time window t.

37. The environmental adaptive microwave detection device according to claim 36, wherein in step (B), the number of time windows t is at least three, wherein in step (C), by comparing the frequency value combinations belonging to different frequency value distribution datasets M in adjacent frequency value distribution datasets M, the continuity of the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T is identified, so as to determine the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T based on at least two consecutive valid identifications, thereby enabling autonomous adaptive learning of occasional interference actions in environmental interference actions.

38. The environmental adaptive microwave detection device according to claim 35, wherein in step (B), the number of time windows t is at least three, wherein in step (C), by comparing the frequency value combinations belonging to different frequency value distribution datasets M in adjacent frequency value distribution datasets M, the continuity of the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T is identified, so as to determine the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T based on at least two consecutive valid identifications, thereby enabling autonomous adaptive learning of occasional interference actions in environmental interference actions.

39. The environmental adaptive microwave detection device according to claim 26, wherein in step (B), after obtaining the frequency distribution of the Doppler intermediate frequency signal in the frequency domain corresponding to each of the time windows t by time-frequency conversion of at least two time windows t using time-domain digital information encoding, at least one frequency value with the same amplitude sequence is selected according to the high and low order of the amplitude corresponding to each frequency value to form the frequency domain digital information encoding corresponding to the frequency distribution dataset M.

40. The environmental adaptive microwave detection device according to claim 39, wherein in step (C), by comparing the frequency difference of at least one pair of frequency value combinations belonging to different frequency value distribution datasets M and having the same amplitude sequence with a preset frequency difference value Δf, frequency value combinations with a frequency difference greater than or equal to the preset frequency difference value Δf are considered as valid frequency value combinations, thereby identifying the validity of the correspondence between the frequency values ​​in the frequency value combination and the human activity based on the identification of the frequency values ​​of the fluctuations corresponding to human activity movements.

41. The environmental adaptive microwave detection device according to claim 39, wherein each frequency value data in the frequency value distribution dataset M further includes the amplitude corresponding to the frequency value, wherein in step (C), by comparing the frequency difference of at least one pair of frequency value combinations belonging to different frequency value distribution datasets M and having the same amplitude value order with a preset frequency difference value Δf, and comparing the amplitude difference of the frequency value combination with a preset amplitude difference value ΔV, frequency value combinations that are greater than or equal to the preset frequency difference value Δf and greater than or equal to the preset amplitude difference value ΔV are considered as valid frequency value combinations, thereby identifying the validity of the correspondence between the frequency values ​​in the frequency value combination and the human activity based on the identification of the frequency values ​​of the fluctuations corresponding to human activity movements.

42. The environmental adaptive microwave detection device according to claim 40 or 41, wherein in step (C), the effective frequency value combination is further identified as a valid correspondence with human activity, or the frequency value in the effective frequency value combination is identified as a valid frequency value. Based on the ratio of the number of effective frequency value combinations to the total number of frequency value combinations in a pair of frequency value distribution datasets M being greater than or equal to a preset ratio, or based on the ratio of the number of effective frequency values ​​to the total number of frequency values ​​in the frequency value distribution dataset M being greater than or equal to a preset ratio, the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and the human activity is identified as valid for the corresponding time window t.

43. The environmental adaptive microwave detection device according to claim 42, wherein in step (B), the number of time windows t is at least three, wherein in step (C), by comparing the frequency value combinations belonging to different frequency value distribution datasets M in adjacent frequency value distribution datasets M, the continuity of the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T is identified, so as to determine the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T based on at least two consecutive valid identifications, thereby enabling autonomous adaptive learning of occasional interference actions in environmental interference actions.

44. The environmental adaptive microwave detection device according to claim 40 or 41, wherein in step (B), the number of time windows t is at least three, wherein in step (C), by comparing the frequency value combinations belonging to different frequency value distribution datasets M in adjacent frequency value distribution datasets M, the continuity of the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T is identified, so as to determine the validity of the correspondence between the frequency value of the Doppler intermediate frequency signal in the frequency domain and human activity actions in the time period T based on at least two consecutive valid identifications, thereby enabling autonomous adaptive learning of occasional interference actions in environmental interference actions.

45. The environment-adaptive microwave detection device according to any one of claims 26 to 30 and 39 to 41, wherein the processing step of the environment-adaptive microwave detection device for the Doppler intermediate frequency signal further includes an amplification processing step of the Doppler intermediate frequency signal in analog signal form prior to step (A).

46. ​​The environment-adaptive microwave detection device according to any one of claims 26 to 30 and 39 to 41, wherein the processing step of the environment-adaptive microwave detection device for the Doppler intermediate frequency signal further includes a filtering step for the Doppler intermediate frequency signal to filter out signals corresponding to power frequency interference frequencies in the Doppler intermediate frequency signal based on the filtering step.

47. The environment-adaptive microwave detection device according to claim 46, wherein the environment-adaptive microwave detection device is further configured to select the Doppler intermediate frequency signal within a frequency range of less than or equal to 1 kHz based on a filtering processing step of the Doppler intermediate frequency signal.

48. The environment-adaptive microwave detection device according to claim 47, wherein the environment-adaptive microwave detection device is further configured to select a Doppler intermediate frequency signal of greater than or equal to 3 Hz within a frequency range of less than or equal to 1 kHz based on a filtering processing step of the Doppler intermediate frequency signal.

49. The environmentally adaptive microwave detection device according to claim 48, wherein the duration of the time period T is less than 2 seconds.

50. The environmentally adaptive microwave detection device according to claim 49, wherein the preset frequency difference value Δf is set within a range of greater than or equal to 1 Hz and less than or equal to 5 Hz.

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