Vehicle-mounted detection method and system based on radar, electronic equipment and storage medium

Abstract

The invention relates to a radar-based vehicle-mounted detection method and system, electronic equipment and a storage medium. The radar-based vehicle-mounted detection method comprises the following steps: transmitting a first signal to a target object, and reflecting the first signal by the target object to obtain a second signal; receiving the second signal, performing frequency mixing processing on the second signal and the first signal, and outputting a third signal; third signals are collected at a preset time interval, the multiple collected third signals are calculated and processed through a first algorithm, and a current signal is output; carrying out calculation processing on the current signal by adopting a second algorithm, and outputting a spectrogram; analyzing and processing the spectrogram, taking the target object as a dynamic object, and outputting existence information of the dynamic object; and sending the dynamic object existence information to the mobile terminal through the wireless local area network. According to the scheme provided by the invention, a driver can be reminded of people or animals possibly moving in the vehicle in time.

Description

Technical Field

[0001] The present invention relates to the field of radar positioning technology, and in particular to a vehicle-mounted detection method, system, electronic equipment and storage medium based on radar. Background Art

[0002] At present, cars, as a means of transportation, make people's lives more convenient. They are indispensable in commuting to work, traveling and other activities.

[0003] In the related art, some careless drivers may forget to lock their children or pets in the car when getting out of the car, thereby causing the children's personal safety to be unprotected. Summary of the invention

[0004] The purpose of the present invention is to overcome the deficiencies in the prior art and provide a radar-based vehicle-mounted detection method, system, electronic device and storage medium that can promptly alert the driver of people or animals that may be moving in the vehicle.

[0005] The objective of the present invention is achieved through the following technical solutions:

[0006] The first aspect of the present application provides a radar-based vehicle detection method, including: transmitting a first signal to a target object, obtaining a second signal after reflection from the target object; receiving the second signal, mixing the second signal with the first signal, and outputting a third signal; collecting the third signals at preset time intervals, calculating and processing the collected multiple third signals using a first algorithm, and outputting a current signal; calculating and processing the current signal using a second algorithm, and outputting a spectrum diagram; analyzing and processing the spectrum diagram, treating the target object as a dynamic object, and outputting dynamic object existence information; and sending the dynamic object existence information to a mobile terminal via a wireless local area network.

[0007] The method also includes: acquiring the phase of the first signal, analyzing the phase and outputting a plurality of phase states; calculating the plurality of phase states and outputting a plurality of demodulated signals; operating the plurality of demodulated signals to obtain a target signal, and using the target signal as the first signal.

[0008] The first algorithm is used to calculate and process the collected multiple third signals, including: obtaining the time point of each of the third signals, arranging and processing them according to the time point, and outputting multiple real-time signals; extracting and processing the multiple real-time signals to obtain multiple key information points; synthesizing the multiple key information points, and outputting the synthesized intermediate frequency signal as the current signal.

[0009] The calculating and processing the current signal by using the second algorithm includes: obtaining two adjacent current signals at the preset time interval, weakening the static clutter of the two adjacent current signals to obtain a preprocessed signal; converting the preprocessed signal to output the spectrum diagram.

[0010] The second aspect of the present application provides a radar-based vehicle detection system, including: a transmitting module, used to transmit a first signal to a target object, and obtain a second signal after reflection from the target object; a first acquisition module, used to receive the second signal, mix the second signal with the first signal, and output a third signal; a second acquisition module, used to respectively acquire the third signal at preset time intervals, use a first algorithm to calculate and process the multiple acquired third signals, and output a current signal; a first calculation module, used to calculate and process the current signal using a second algorithm, and output a spectrum diagram; a second calculation module, used to analyze and process the spectrum diagram, regard the target object as a dynamic object, and output dynamic object existence information; a sending module, used to send the dynamic object existence information to a mobile terminal via a wireless local area network.

[0011] It also includes a third calculation module, which is used to obtain the phase of the first signal, analyze the phase, and output multiple phase states; calculate the multiple phase states and output multiple demodulated signals; operate the multiple demodulated signals to obtain the target signal, and use the target signal as the first signal.

[0012] The second acquisition module is also used to obtain the time point of each of the third signals, arrange and process them according to the time point, and output multiple real-time signals; extract and process the multiple real-time signals to obtain multiple key information points; synthesize the multiple key information points, and output the synthesized intermediate frequency signal as the current signal.

[0013] The first calculation module is also used to obtain two adjacent current signals at the preset time interval, perform static clutter reduction processing on the two adjacent current signals to obtain a preprocessed signal; perform conversion processing on the preprocessed signal to output the spectrum diagram.

[0014] A third aspect of the present application provides an electronic device, including:

[0015] Processor; and

[0016] The memory stores executable codes thereon, and when the executable codes are executed by the processor, the processor is caused to execute the method as described above.

[0017] A fourth aspect of the present application provides a computer-readable storage medium having executable code stored thereon. When the executable code is executed by a processor of an electronic device, the processor is caused to execute the method as described above.

[0018] Compared with the prior art, the present invention has at least the following advantages:

[0019] This application can accurately identify people or animals moving in the car, so that timely feedback can be provided to the driver's mobile terminal to remind the driver. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below.

[0021] Figure 1 is a method flow chart of a radar-based vehicle-mounted detection method in one embodiment of the present invention;

[0022] Figure 2 A method flow chart of another implementation of a radar-based vehicle-mounted detection method in an embodiment of the present invention;

[0023] Figure 3 A method flow chart of another implementation of a radar-based vehicle-mounted detection method in an embodiment of the present invention;

[0024] Figure 4 A method flow chart of another implementation of a radar-based vehicle-mounted detection method in an embodiment of the present invention;

[0025] Figure 5 is a functional module diagram of a radar-based vehicle-mounted detection system in one embodiment of the present invention;

[0026] Figure 6 FIG. 4 is a schematic diagram of the structure of an electronic device in an embodiment of the present invention. DETAILED DESCRIPTION

[0027] The embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although the embodiments of the present application are shown in the accompanying drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to make the present application more thorough and complete, and to fully convey the scope of the present application to those skilled in the art.

[0028] It should be understood that although the terms "first", "second", "third", etc. may be used in this application to describe various information, this information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of this application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of this application, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0029] Unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, or a detachable connection or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0030] At present, cars, as a means of transportation, make people's lives more convenient. Cars are indispensable for commuting to work, traveling, and other activities. However, some careless drivers may forget to lock their children or pets in the car when getting off, which makes the children's personal safety unprotected.

[0031] In response to the above problems, the embodiments of the present application provide a radar-based vehicle-mounted detection method, system, electronic device and storage medium, which can promptly remind the driver of people or animals that may be moving in the car.

[0032] The technical solution of the embodiments of the present application is described in detail below with reference to the accompanying drawings.

[0033] Figure 1 It is a flow chart of a radar-based vehicle-mounted detection method shown in an embodiment of the present application.

[0034] See also Figure 1 , a radar-based vehicle detection method, comprising:

[0035] Step S101: transmitting a first signal to a target object, and obtaining a second signal after being reflected by the target object.

[0036] It should be noted that the first signal is a carrier signal. The frequency sent by the radar module is 60GHz, the bandwidth is 4GHz, and the frequency modulated continuous wave format is used. Compared with 24G radar, 60G does not have better penetration ability and cannot penetrate glass of different thicknesses. However, due to its high frequency and short wavelength, the detection distance of 60G is not very far, but its detection accuracy is high, and even small movements can be detected. When the first signal is transmitted to the target object in the car, it will be reflected to obtain the second signal.

[0037] Step S102: Receive a second signal, mix the second signal with the first signal, and output a third signal.

[0038] It should be noted that the sampler of the radar module will mix the second signal with the first signal to obtain a third signal, where the third signal is an intermediate frequency signal. The purpose of mixing here is that if the target object is a dynamic object, the second signal will have a different phase from the first signal. Mixing is performed to prepare for subsequent clutter removal.

[0039] Step S103: collect third signals at preset time intervals, use the first algorithm to calculate and process the collected multiple third signals, and output the current signal.

[0040] It should be noted that the preset time interval here means that the sampler in the radar will select a point every N-1 sample intervals, and N in this application is usually 4. Then the collected third signal is calculated and processed to enhance the signal characteristics of the target object and obtain the current signal.

[0041] Step S104: The current signal is processed by using a second algorithm and a frequency spectrum is output.

[0042] It should be noted that the spectrum here can intuitively show whether there are living things in the car. If there are no moving targets in the car, such as pillows and seats in the car, its frequency domain waveform will appear as a smooth curve that is almost straight. If it is a dynamic target, one or more peaks will be obtained, and one or more objects will be obtained through calculation.

[0043] Step S105: Analyze and process the spectrum graph, regard the target object as a dynamic object, and output dynamic object existence information.

[0044] Step S106: Send the dynamic object existence information to the mobile terminal via the wireless local area network.

[0045] It should be noted that the driver can receive the information about the existence of dynamic objects through the APP of the mobile terminal. Furthermore, most cars mainly use the pressure sensor of the seat, and then upload it to the mobile terminal through the vehicle-mounted GPS and GSM network. This application not only has the annual fee payment but is also affected by the base station signal. For example, the signal of South China Mobile is better, and the signal of China Unicom and China Telecom is poor. In addition, most of the parking lots are in the parking lots below busy shopping malls, and the signal interference or the base station signal is originally weak, resulting in transmission delays. At the same time, the pressure sensor of the seat also has aging problems and insensitive detection. However, the present invention does not have the problem of network interference through short-distance local area network transmission. Generally, the parking lot signal is relatively weak, and the mobile phone signal cannot interfere with the Wifi signal. In addition, the radar module will not have the problem of aging or low sensitivity over time, and the detection is stable. At the same time, there is no need to pay an annual fee, and the application cost is low.

[0046] See also Figure 2 , Figure 2 for Figure 1 In a more detailed embodiment, a radar-based vehicle-mounted detection method further includes:

[0047] Step S201, obtaining the phase of the first signal, analyzing the phase, and outputting a plurality of phase states;

[0048] Step S202, calculating and processing a plurality of phase states, and outputting a plurality of demodulated signals;

[0049] Step S203: perform operations on the multiple demodulated signals to obtain a target signal, and use the target signal as the first signal.

[0050] It should be noted that the first signal is a carrier signal, which is a frequency-hopping continuous wave signal synthesized by multi-level phase modulation. A variety of different carrier phases are added to the first signal to characterize its digital information. Usually, the phase range of the carrier is subdivided into M different phase states from (0, 2π). Here, M is an integer multiple of 2 and a positive integer. Common ones are M = 4, 8, 16, 32. In the present invention, the value of M is 128, and each specific phase state represents log 2 M bits of information. In this way, by changing the carrier phase, different digital information can be transmitted. For example, when M=2, its carrier phase will be divided into 0° and 180°, and the corresponding code element information is defined as 0 and 1 respectively. Then, according to this correspondence, the transmitted code element information is corresponded to the phase information of the base signal to obtain multiple demodulated signals, and the required target signal can be synthesized by adding multiple demodulated signals. The advantage of this method is that a more accurate target signal can be obtained by continuous subdivision, thereby making the detected tiny signal more accurate.

[0051] See also Figure 3, Figure 3 for Figure 1 In a more detailed implementation, a radar-based vehicle-mounted detection method includes:

[0052] Step S301: transmit a first signal to a target object, and obtain a second signal after the signal is reflected by the target object.

[0053] The description here can refer to step S101, which will not be repeated here.

[0054] Step S302: Receive a second signal, mix the second signal with the first signal, and output a third signal.

[0055] The description here can refer to step S102, which will not be repeated here.

[0056] Step S303: Collect the third signals at preset time intervals, obtain the time points of the third signals, arrange and process them according to the time points, and output multiple real-time signals;

[0057] Step S304: extract and process the multiple real-time signals to obtain multiple key information points;

[0058] Step S305: synthesize the multiple key information points and output the synthesized intermediate frequency signal as the current signal.

[0059] It should be noted that the preset time interval here means that the sampler in the radar will select a point every N-1 sample intervals, and N in this application is usually 4. Then the acquired third signal is arranged in chronological order to reconstruct a new real-time signal, where the real-time signal is a new intermediate frequency signal. This is done in order to retain the key information of the original signal and reduce the frequency, effectively reducing interference signals and optimizing the occupation of computing resources.

[0060] Step S306: obtaining two adjacent current signals at a preset time interval, and performing static clutter reduction processing on the two adjacent current signals to obtain a preprocessed signal;

[0061] Step S307: convert the preprocessed signal and output a spectrum diagram.

[0062] It should be noted that the two current signals of the two adjacent frames collected in step S305 are subjected to differential cancellation operation, aiming to weaken the interference of static clutter on dynamic target detection, thereby strengthening the signal characteristics of the moving target. The differential cancellation operation is essentially to generate a new signal by subtracting two signals. In view of the fact that the frequency of the return signal of the millimeter-wave radar remains stable when detecting static objects, while the moving object will cause the signal frequency to change. Therefore, the use of differential cancellation technology can effectively eliminate static clutter and highlight the signal of the moving target. Further, the new signal processed by differential cancellation is subjected to fast Fourier transform, converted into the frequency domain and a corresponding spectrum diagram is generated. At this stage, if there is no moving target in the car, such as pillows and seats in the car, its frequency domain waveform will appear as a smooth curve that is almost a straight line. If it is a dynamic target, one or more peaks will be obtained, and one or more objects will be obtained by FFT calculation.

[0063] Step S308: Analyze and process the spectrum graph, treat the target object as a dynamic object, and output dynamic object existence information.

[0064] Step S309: Send the dynamic object existence information to the mobile terminal via the wireless local area network.

[0065] It should be noted that the dynamic object existence information generated by the radar module is transmitted to the MCU of the IOT module through the SPI interface or the I2S interface for processing, and then the information on whether there is a dynamic target is obtained and transmitted to the APP of the mobile terminal through the WiFi local area network.

[0066] See also Figure 4 In another embodiment, a radar-based vehicle-mounted detection method further includes:

[0067] Step S401: Based on the information about the existence of a dynamic object, a light beam is emitted to a target object to generate three-dimensional point cloud data.

[0068] It should be noted that when it is determined that there is a dynamic object in the car, the radar will emit a light beam to the target object to calculate the distance and angle from the light beam to each scanning point of the target object, thereby obtaining a large amount of angle and distance information of the target object and forming three-dimensional point cloud data.

[0069] Step S402: De-noise the three-dimensional point cloud data and output pre-processed point cloud data.

[0070] It should be noted that removing noise points in the three-dimensional point cloud data can reduce erroneous data caused by environmental factors or equipment errors.

[0071] Step S403: Analyze the surface curvature of the preprocessed point cloud data to obtain the target object edge point data, and construct the local geometric features of the target object according to the target object edge point data.

[0072] It should be noted that by analyzing the surface curvature of the preprocessed point cloud data, the edge position of the target object can be obtained to roughly outline the local geometric features of the target object.

[0073] Step S404: Acquire the spatial position information of the target object, and segment the pre-processed point cloud data according to the local geometric features and the spatial position information to obtain multiple regional object features.

[0074] It should be noted that the pre-processed point cloud data is segmented according to the spatial position information and local geometric features of the target object, and each area corresponds to a part of the target object.

[0075] Step S405: Fitting the features of multiple regional objects to output a preliminary outline of the target object.

[0076] It should be noted that the object features of multiple regions can be fitted by polygon fitting, curve fitting and other methods to obtain the contour line or contour surface of the object. The above steps are for the purpose of constructing the contour of the target object.

[0077] Step S406: Scan the incomplete area of ​​the preliminary outline of the target object, use the third algorithm to repair the incomplete area, output the overall outline, and send the overall outline to the mobile terminal via the wireless local area network.

[0078] It should be noted that, for the incomplete preliminary outline of the target object, the present application will use a third algorithm to repair or fill it, wherein the third algorithm may be an interpolation method. In this way, the complete outline of the target object can be obtained. Then the overall outline is sent to the mobile terminal via the wireless local area network, so that the driver can know whether a person or animal is missing in the car.

[0079] Step S407: sending sound data to the target object according to the overall outline.

[0080] It should be noted that the driver can confirm that a person or animal has been left out of the car based on the overall outline, and can call the person or animal's name through the horn in the radar to achieve the purpose of calming emotions.

[0081] Corresponding to the aforementioned application function implementation method embodiment, the present application also provides a radar-based vehicle-mounted detection system, electronic equipment and corresponding embodiments.

[0082] Figure 5It is a functional module diagram of a radar-based vehicle-mounted detection system shown in an embodiment of the present application.

[0083] See also Figure 5 A radar-based vehicle detection system includes: a transmitting module 100, a first acquisition module 200, a second acquisition module 300, a first calculation module 400, a second calculation module 500 and a sending module 600, wherein the transmitting module 100 is used to transmit a first signal to a target object, and obtain a second signal after being reflected by the target object; the first acquisition module 200 is used to receive the second signal, mix the second signal with the first signal, and output a third signal; the second acquisition module 300 is used to respectively collect the third signal at a preset time interval, calculate and process the collected multiple third signals using a first algorithm, and output a current signal; the first calculation module 400 is used to calculate and process the current signal using a second algorithm, and output a spectrum diagram; the second calculation module 500 is used to analyze and process the spectrum diagram, regard the target object as a dynamic object, and output dynamic object existence information; the sending module 600 is used to send the dynamic object existence information to a mobile terminal via a wireless local area network.

[0084] In one embodiment, a radar-based vehicle detection system also includes a third computing module, which is used to obtain the phase of the first signal, analyze the phase, and output multiple phase states; calculate the multiple phase states and output multiple demodulated signals; operate the multiple demodulated signals to obtain the target signal, and use the target signal as the first signal.

[0085] In one embodiment, the second acquisition module 300 is also used to obtain the time point of each third signal, arrange and process them according to the time point, and output multiple real-time signals; extract and process the multiple real-time signals to obtain multiple key information points; synthesize the multiple key information points, and output the synthesized intermediate frequency signal as the current signal.

[0086] In one embodiment, the first calculation module 400 is further used to obtain two adjacent current signals at a preset time interval, perform static clutter reduction processing on the two adjacent current signals to obtain a preprocessed signal; perform conversion processing on the preprocessed signal and output a spectrum diagram.

[0087] Regarding the system in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated again here.

[0088] Figure 6 It is a schematic diagram of the structure of an electronic device shown in an embodiment of the present application.

[0089] See also Figure 6 , the electronic device 1000 includes a memory 1010 and a processor 1020 .

[0090] The processor 1020 may be a central processing unit (CPU), or an integrated circuit composed of other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. The general-purpose processor may be any conventional processor that can run the Linux kernel.

[0091] The memory 1010 may include various types of storage units, such as system memory, read-only memory (ROM), and permanent storage devices. Among them, ROM can store static data or instructions required by the processor 1020 or other modules of the computer. The permanent storage device may be a readable and writable storage device. The permanent storage device may be a non-volatile storage device that does not lose the stored instructions and data even after the computer is powered off. In some embodiments, the permanent storage device uses a large-capacity storage device (such as a magnetic or optical disk, flash memory) as a permanent storage device. In some other embodiments, the permanent storage device may be a removable storage device (such as a floppy disk, optical drive). The system memory may be a readable and writable storage device or a volatile readable and writable storage device, such as a dynamic random access memory. The system memory may store some or all instructions and data required by the processor at run time. In addition, the memory 1010 may include any combination of computer-readable storage media, including various types of semiconductor storage chips (such as DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), and disks and / or optical disks may also be used. In some embodiments, the memory 1010 may include a readable and / or writable removable storage device, such as a laser disc (CD), a read-only digital versatile disc (such as a DVD-ROM, a double-layer DVD-ROM), a read-only Blu-ray disc, an ultra-density optical disc, a flash memory card (such as an SD card, a mini SD card, a Micro-SD card, etc.), a magnetic floppy disk, etc. The computer-readable storage medium does not include carrier waves and transient electronic signals transmitted wirelessly or wired.

[0092] The memory 1010 stores executable codes, and when the executable codes are processed by the processor 1020 , the processor 1020 can execute part or all of the methods described above.

[0093] In addition, the method according to the present application may also be implemented as a computer program or a computer program product, which includes computer program code instructions for executing some or all of the steps in the above method of the present application.

[0094] Alternatively, the present application can also be implemented as a computer-readable storage medium (or non-transitory machine-readable storage medium or machine-readable storage medium) on which executable code (or computer program or computer instruction code) is stored. When the executable code (or computer program or computer instruction code) is executed by a processor of an electronic device (or server, etc.), the processor executes part or all of the steps of the above-mentioned method according to the present application.

[0095] The scheme of the present application has been described in detail above with reference to the accompanying drawings. In the above embodiments, the descriptions of the various embodiments have their own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments. Those skilled in the art should also be aware that the actions and modules involved in the specification are not necessarily required for the present application. In addition, it can be understood that the steps in the method of the embodiment of the present application can be adjusted in order, merged and deleted according to actual needs, and the modules in the device of the embodiment of the present application can be merged, divided and deleted according to actual needs.

[0096] The embodiments of the present application have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or improvements to the technology in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A radar-based vehicle detection method, characterized in that: include: Transmitting a first signal to a target object, and obtaining a second signal after being reflected by the target object; receiving the second signal, mixing the second signal with the first signal, and outputting a third signal; Collecting the third signals at preset time intervals respectively, calculating and processing the collected plurality of third signals using a first algorithm, and outputting a current signal; The current signal is processed by a second algorithm and outputted as a frequency spectrum; Analyze and process the spectrum graph, regard the target object as a dynamic object, and output dynamic object existence information; The dynamic object existence information is sent to the mobile terminal via a wireless local area network.

2. The radar-based vehicle-mounted detection method according to claim 1, characterized in that: The method further comprises: Acquire the phase of the first signal, perform analytical processing on the phase, and output a plurality of phase states; Calculating and processing the plurality of phase states to output a plurality of demodulated signals; A plurality of the demodulated signals are operated to obtain a target signal, and the target signal is used as the first signal.

3. The radar-based vehicle-mounted detection method according to claim 1, characterized in that: The step of using the first algorithm to perform calculation processing on the collected plurality of third signals comprises: Acquire the time point of each of the third signals, perform arrangement processing according to the time point, and output a plurality of real-time signals; Extracting and processing the plurality of real-time signals to obtain a plurality of key information points; A plurality of the key information points are synthesized, and a synthesized intermediate frequency signal is output as the current signal.

4. The radar-based vehicle-mounted detection method according to claim 3, characterized in that: The step of calculating and processing the current signal using a second algorithm includes: Obtain two adjacent current signals at the preset time interval, and perform static clutter reduction processing on the two adjacent current signals to obtain a preprocessed signal; The preprocessed signal is converted and processed, and the spectrum diagram is output.

5. A radar-based vehicle-mounted detection system, characterized in that: include: A transmitting module, used for transmitting a first signal to a target object, and obtaining a second signal after being reflected by the target object; A first acquisition module, used for receiving the second signal, mixing the second signal with the first signal, and outputting a third signal; A second acquisition module, used to respectively acquire the third signal at preset time intervals, calculate and process the acquired plurality of the third signals using a first algorithm, and output a current signal; A first calculation module, used for calculating and processing the current signal using a second algorithm and outputting a frequency spectrum; A second calculation module is used to analyze and process the frequency spectrum, regard the target object as a dynamic object, and output dynamic object existence information; The sending module is used to send the dynamic object existence information to the mobile terminal via the wireless local area network.

6. The radar-based vehicle-mounted detection system according to claim 5, characterized in that: It also includes a third calculation module, which is used to obtain the phase of the first signal, analyze the phase, and output multiple phase states; Calculating and processing the plurality of phase states to output a plurality of demodulated signals; A plurality of the demodulated signals are operated to obtain a target signal, and the target signal is used as the first signal.

7. The radar-based vehicle-mounted detection system according to claim 5, characterized in that: The second acquisition module is further used to obtain the time point of each of the third signals, perform arrangement processing according to the time point, and output multiple real-time signals; Extracting and processing the plurality of real-time signals to obtain a plurality of key information points; A plurality of the key information points are synthesized, and a synthesized intermediate frequency signal is output as the current signal.

8. The radar-based vehicle-mounted detection system according to claim 5, characterized in that: The first calculation module is further used to obtain two adjacent current signals at the preset time interval, and perform static clutter reduction processing on the two adjacent current signals to obtain a preprocessed signal; The preprocessed signal is converted and processed, and the spectrum diagram is output.

9. An electronic device, characterized in that: include: processor; as well as A memory having executable codes stored thereon, which, when executed by the processor, causes the processor to execute the method according to any one of claims 1 to 4.

10. A computer-readable storage medium having executable codes stored thereon, which, when executed by a processor of an electronic device, causes the processor to execute the method according to any one of claims 1 to 4.

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