195 results about "Continuous wave signal" patented technology

The invention relates to the field of heart rate monitoring, and discloses a millimeter wave radar breath and heart rate synchronous monitoring method and system, and the method comprises the steps: transmitting a linear frequency modulation continuous wave signal according to a millimeter wave radar, and collecting original echo data reflected by a target region; baseband signal demodulation and phase information extraction are carried out on the original echo data to obtain original phase time sequence data, and the original phase time sequence data comprise thoracic cavity micro-motion features; and according to a Butterworth band-pass filter, preprocessing the original phase time sequence data through human body physiological signal frequency band characteristics to obtain a breathing frequency band signal and a heart rate frequency band signal. According to the method, the apnea event triggering threshold value and the arrhythmia early warning index are updated in real time through Kalman filtering and extended Kalman filtering, so that the monitoring system can dynamically adjust the health parameters, which means that the monitoring system can be optimized in real time and the abnormal health event can be accurately responded in different physiological states.

The invention provides an underwater sonar target detection system and method. The underwater sonar target detection system comprises an optical fiber hydrophone array module which comprises a plurality of optical fiber hydrophone units, each unit comprises an optical fiber Bragg grating sensor and a sound pressure signal demodulation device, and the optical fiber hydrophone array module is used for collecting underwater sound wave signals in real time and converting the underwater sound wave signals into first electric signals; the sonar transmitting-receiving array module comprises a broadband sonar transmitter, a multi-beam receiver and a signal preprocessing circuit, and is used for actively transmitting a frequency modulation continuous wave signal, receiving a target reflection echo and generating a second electric signal; and the multi-mode signal fusion processing module comprises a high-speed data acquisition card, a self-adaptive noise suppression unit and a time-frequency analysis unit. The underwater sonar target detection system and method provided by the invention have the advantages of relatively high reliability, relatively high detection performance, relatively accurate cross-modal signal fusion and capability of performing intelligent target identification and tracking.

The invention relates to the technical field of laser radars, in particular to an obstacle detection method and system based on a frequency-modulated continuous wave laser radar, and the method comprises the steps: transmitting a chaotic frequency-modulated continuous wave signal to a detection region, and obtaining a reflection echo signal of a target object; performing decoupling calculation on the difference frequency electric signal to obtain a target time frequency distribution matrix; according to the target time-frequency distribution matrix, predicting the Doppler frequency shift amount of the target object at the next moment; based on the chaos frequency modulation adjustment signal, obtaining a distance measurement deviation compensation amount; the chaos frequency modulation adjustment signal is obtained by dynamically adjusting the chaos frequency modulation slope of the chaos frequency modulation continuous wave signal through the Doppler frequency shift amount; and compensating the difference frequency electric signal frequency value of the target object according to the distance measurement deviation compensation amount and the environmental noise data so as to solve obstacle distance speed detection information. According to the invention, the Doppler frequency shift amount is predicted in real time and the chaotic frequency modulation continuous wave signal parameters are dynamically adjusted, so that the accurate compensation of the distance measurement deviation is realized, and the accuracy of obstacle distance speed detection is improved.

A position determination device, which determines a position of a portable device relative to a vehicle, includes a first communication unit performing Bluetooth (registered trademark) communication with the portable device and a computer executing a process for determining the position of the portable device. The first communication unit transmits and receives (i) a modulation signal for data communication and (ii) continuous wave signals for distance measurement purpose. The first communication unit maintains a communicable state with the portable device even while the computer operates in a power saving mode. The first communication unit executes a process of calculating a distance from the first communication unit to the portable device using data related to reception phases of the continuous wave signals transmitted from the portable device, compares the calculated distance with a predetermined value, and switches from the power saving mode to a normal mode based on comparison result.

The invention discloses a non-contact electrocardio detection method which comprises the following steps: transmitting a frequency modulation continuous wave signal to the heart part of a human body by using an MIMO millimeter wave radar so as to obtain an echo signal reflected by the human body and pre-process the echo signal to obtain a discrete three-dimensional radar signal; enhancing the discrete three-dimensional radar signal by using a 2D beam forming technology to obtain a 2D signal; extracting a target area signal from the 2D signal, and performing phase extraction on the extracted target area signal to obtain phase data; the method comprises the following steps: constructing a WaveGRU-Net network comprising an MODWT module, a CNN module and a Bi-GRU module; and training the WaveGRU-Net network by using the phase data so as to output a reconstructed electrocardiogram by using the trained WaveGRU-Net network, thereby realizing non-contact electrocardiogram detection. According to the method, accurate extraction of the electrocardiosignal is realized, and meanwhile, the signal reconstruction precision is improved.

The invention relates to a mine monitoring method based on millimeter-wave radar multi-feature fusion, and the method comprises the steps: transmitting an FMCW signal through a millimeter-wave radar, receiving a target echo, sequentially carrying out the signal preprocessing, 1DFFT distance measurement, 2DFFT speed measurement, velocity ambiguity resolution and DOA estimation angle measurement, and extracting the distance, velocity, angle and energy variation features of a target point cloud; then millimeter-level deformation is obtained through phase analysis; obtaining a vibration frequency through band-pass filtering and spectrum analysis; fusing the six types of features of the target point cloud, adopting a confidence counter weighting decision mechanism, and triggering early warning when a fusion score exceeds a preset threshold value; according to the invention, through the advantages of high reliability, strong anti-interference performance and high non-contact safety of multi-feature fusion decision, the false alarm rate is significantly reduced, and the real-time accurate early warning capability of the mine dangerous state is improved.

An optical frequency domain reflectometer with environmental disturbance resistance and large strain measurement capability belongs to the field of distributed optical fiber sensing and comprises an opposite sweep frequency light frequency modulation continuous wave signal generation module, a light splitting device, a modulation device, a circulator, a polarization controller, an optical coupling device, a photoelectric conversion module and a data acquisition and processing module. An optical signal generated by an opposite sweep frequency light frequency modulation continuous wave signal generation module is divided into probe light and local oscillation light through a light splitting device, the probe light is modulated through a modulation device and sent to an optical fiber through a circulator, and a Rayleigh back scattering light signal generated by the optical fiber and the local oscillation light interfere in an optical coupling device to obtain interference light; the photoelectric conversion module mixes beat frequency signals of interference light, and the data acquisition and processing module analyzes and processes the beat frequency signals. According to the invention, the position information of the Rayleigh backscattering point is marked by using the modulated probe light, the Rayleigh scattering signal at the corresponding position is restored, crosstalk between channels is inhibited, and high-precision measurement in a large dynamic range and resistant to environmental disturbance is realized.

The invention provides a hidden backscatter communication method based on multicarrier randomized continuous waves. The method comprises the following steps: acquiring multicarrier randomized continuous wave signal characteristic parameters, backscatter signal characteristic parameters and channel parameters between a transceiver and a listener and between the transceiver and each user; according to the characteristic parameters of the multicarrier randomized continuous wave signal and channel parameters between the transceiver and the listener and between the transceiver and each user, determining relative entropy between probability density functions of the listener receiving signal when the user generates a backscattering signal and when the user does not generate the backscattering signal; determining the total reachable rate between the transceiver and all users according to the multicarrier randomized continuous wave signal characteristic parameters, the backscattering signal characteristic parameters and the channel parameters; and maximizing the total reachable rate through a target optimization algorithm by taking the condition that the relative entropy meets the concealment condition as the constraint, and obtaining the optimized statistical characteristic parameters of the multicarrier randomized continuous waves. According to the invention, hidden backscatter communication can be realized.

Methods, systems, and devices for wireless communications are described. Generally, the described techniques enable a first wireless device to scramble at least a portion of one or more frequency-modulated continuous wave (FMCW) signals (e.g., hybrid FMCW signals) using a scrambling identifier, which may enable a second wireless device to differentiate between FMCW signals based on identifying the scrambling identifier. For example, the first wireless device may scramble at least a portion of an upchirp signal, a downchirp signal, or both, of an FMCW signal. The second wireless device may identify the scrambling identifier based on attempting to descramble the scrambled portion of the FMCW signal using multiple candidate scrambling identifiers. In some examples, a scrambling pattern (e.g., which portion of the upchirp signal, downchirp signal, or both, is scrambled) of a hybrid FMCW signal may indicate information associated with the first wireless device.

The invention discloses a breath and heartbeat detection method and system based on an FMCW (Frequency Modulated Continuous Wave) radar. The method comprises the following steps: acquiring a continuous wave signal sent by an FMCW millimeter wave radar to detect a target object so as to obtain a reflected echo signal; the echo signals are preprocessed; separating a respiration signal from a heartbeat signal of the preprocessed echo signal based on an EPH multi-stage cooperative signal processing algorithm; and carrying out anomaly correction on the separated instantaneous frequency anomaly data based on a local weighted regression algorithm. Therefore, the vital sign detection accuracy of the radar can be improved under the interference conditions of background noise, signal harmonic waves and the like.

The invention relates to a high-precision denoising method for mud continuous wave signals while drilling based on CNN-BiLSTM and an attention mechanism. The method comprises the following steps: establishing a sample set containing ideal continuous wave signals and noise continuous wave signals; the construction of a while-drilling slurry continuous wave signal denoising network model based on CNN-BiLSTM and an attention mechanism comprises the following steps: performing multi-scale feature extraction on noise continuous wave signals by using CNN; inputting the multi-scale feature map into a BiLSTM to capture a time sequence dependency relationship of the signal; introducing a multi-head self-attention mechanism into a BiLSTM output layer, calculating a global correlation weight between features, dynamically enhancing effective signal components and suppressing noise; and training the while-drilling slurry continuous wave signal denoising network model by using the sample set, and performing signal denoising by using the trained while-drilling slurry continuous wave signal denoising network model. According to the invention, the spatial-temporal characteristic capturing capability and the signal-noise separation precision of the continuous wave signal in a complex environment can be remarkably improved, and the high-precision reconstruction of an ideal signal can be realized.

The invention relates to the technical field of displacement measurement, in particular to a millimeter-wave radar displacement measurement method based on multi-linear frequency modulation signal adaptive phase unwrapping, which comprises the following steps that: a millimeter-wave radar is arranged at a structural displacement monitoring position, and the millimeter-wave radar transmits a frequency modulation continuous wave signal and receives a reflection echo signal; the receiving signal and the transmitting signal are mixed to generate an intermediate frequency signal; fourier transform is carried out on the intermediate frequency signal to extract phase information, a distance spectrum is obtained, a target with the maximum reflection intensity is selected from the distance spectrum for displacement measurement, and a direction conversion factor beta is calculated according to the geometrical relationship between the radar and the target; the millimeter wave radar continuously emits linear frequency modulation signals at fixed time intervals, and phase information corresponding to each emission is extracted; carrying out unwrapping processing on the extracted phase information; and calculating the actual vibration displacement of the target structure based on the unwrapped phase information. According to the method, the phase winding problem is considered in phase change rate estimation, and the robustness to noise is improved.

The invention relates to a single-machine obstacle avoidance method and system based on a millimeter wave radar and a camera, and the method comprises the steps: transmitting a frequency modulation continuous wave signal through the millimeter wave radar, collecting and preprocessing environment original data, and outputting a target list; based on the target list, when the target meets a preset signal-to-noise ratio condition and the speed exceeds a preset speed threshold value, triggering a camera to collect an image, performing real-time classification on the image through a lightweight convolutional neural network model, and outputting a classification result and a bounding box; performing space-time alignment on a target list and a classification result, dynamically allocating weights of radar data and visual data by adopting a confidence weighted fusion algorithm, associating the same target through distance calculation, and outputting a fused target attribute; based on the fused target attributes, constructing a three-dimensional decision matrix, and generating an obstacle avoidance strategy according to a preset priority rule; and converting the obstacle avoidance strategy into a bus control instruction, and controlling the vehicle to execute a corresponding alarm or brake response action.

The invention discloses an unmanned aerial vehicle target active detection method and system based on a millimeter wave radar, and relates to the technical field of unmanned aerial vehicle detection, and the method comprises the steps: carrying out the frequency mixing of an obtained emission frequency modulation continuous wave signal and an echo signal, and obtaining an intermediate frequency signal; performing fast Fourier transform on the intermediate frequency signal to obtain distance information of the target unmanned aerial vehicle; acquiring a plurality of Chirp signals based on the echo signals; based on the phase difference among the plurality of Chirp signals, calculating to obtain the speed information of the target unmanned aerial vehicle; performing angle estimation on the echo signal to obtain angle information of the target unmanned aerial vehicle; integrating the distance information, the speed information and the angle information of the target unmanned aerial vehicle to obtain motion parameters of the target unmanned aerial vehicle; and transmitting the motion parameters of the target unmanned aerial vehicle to a flight control system or other data receiving equipment of the unmanned aerial vehicle. The detection capability and the tracking effect of the unmanned aerial vehicle target can be improved, and the operation safety of the unmanned aerial vehicle is effectively guaranteed.

This application provides a signal transmission method, a communication apparatus, and a communication system, that serve to suppress interference between signals of a plurality of transceivers sharing a same resource. In the method, a first apparatus generates parameter information and sends the parameter information to a second apparatus, such as a transceiver. The parameter information may be determined based on one or more multiplexing modes. The parameter information indicates a value of at least one of a time shift of a time for transmitting a frequency modulated continuous wave (FMCW) signal relative to a reference time, a slope of the FMCW signal, a plus-minus sign of the slope, and a coding parameter used to generate the FMCW signal through phase coding. The second apparatus receives the parameter information and, generates the FMCW signal based on the received parameter information, and sends the FMCW signal.

The invention discloses a cross section water depth continuous measurement method and system based on millimeter waves, and relates to the technical field of hydrographic measurement. According to the invention, through a millimeter wave radar array and a multiple-input-multiple-output antenna, a frequency modulation continuous wave signal is transmitted and a mixed echo signal is received; extracting time-frequency characteristics by using wavelet transform and short-time Fourier transform, and classifying reflection peaks in combination with a Gaussian mixture model; calculating the thickness of an ice layer, the thickness of an air interlayer and an initial water level based on the delay inequality, and dynamically correcting an error through adaptive Kalman filtering; a dynamic focusing algorithm is adopted to synthesize water surface and riverbed reflection signals, and a sand content compensation and flow velocity correction model is introduced to optimize water depth and riverbed elevation inversion; the three-dimensional interpolation weight is optimized through an ant population algorithm, and a high-precision cross section continuous water depth distribution diagram is generated; according to the invention, the problems of poor penetrability, weak anti-interference capability and low continuous water depth precision are solved, and full-section dynamic monitoring of the ice layer thickness, the water level, the water depth and the riverbed form is realized.

The invention discloses a distributed radar data fusion method, which relates to the technical field of radar signal processing and multi-sensor information fusion, and comprises the following steps: arranging a plurality of radar nodes, configuring and transmitting 24GHz frequency-modulated continuous wave signals, receiving echo signals reflected by a target, and transmitting the echo signals to the radar nodes; according to the invention, the radar data fusion system comprises a data acquisition and local processing module, a space-time registration module, an anti-interference module and a track association and fusion module, and a radar data fusion mode and a corresponding analysis result are managed, visualized and stored, so that radar data fusion management can be realized through cloud management and control of the Internet of Things; the target sensing precision, the system resource efficiency, the environmental adaptability, the engineering practicability and the like are remarkably broken through, and the scheme also has strong engineering adaptability, supports heterogeneous sensor dynamic networking, embedded deployment and millisecond-level real-time response, has been successfully applied to scenes such as intelligent transportation and military early warning, and has a wide application prospect. The comprehensive performance comprehensively exceeds the prior art.

The invention relates to the technical field of physiological signal processing, and discloses a millimeter wave radar multi-dimensional physiological feature decoupling heart failure early warning system and method, and the method comprises the steps: configuring a millimeter wave radar to transmit a dual-beam frequency modulation continuous wave signal, collecting human body reflection echoes, and generating a multi-channel original digital signal matrix; generating a chest region and acra region phase signal, an overall reflection signal amplitude sequence and an overall phase drift signal after spatial isolation enhancement through distance-Doppler combined processing; decoupling to obtain a beat-by-beat heartbeat interval sequence, a pulse wave transmission time sequence and a daily net body fluid variation sequence; obtaining a rule engine risk level and a machine learning early warning sign, and determining a final risk assessment level through fusion decision; synchronous high-precision collection and decoupling of non-contact multi-dimensional physiological parameters are achieved, and accuracy and specificity of heart failure decompensation early warning are improved through double-layer model fusion.

The invention relates to the technical field of door lock detection, and discloses a double-camera door lock detection system and method based on a millimeter wave radar. The method comprises the steps that millimeter wave radar transmitting antennas are sequentially activated to transmit linear frequency modulation continuous wave signals in a radar transmitting time slot, an RGB camera and a ToF camera are synchronously triggered to start exposure in a camera exposure time slot, an instantaneous phase difference is calculated according to radar echo intermediate frequency signals, and when the instantaneous phase difference is smaller than a phase change rate threshold value, the camera is triggered to start exposure. Calculating a target radial distance and an azimuth angle; calculating a distance difference value based on the target radial distance, calculating an angle difference value based on the azimuth angle, and establishing an associated target set according to the distance difference value and the angle difference value; and respectively calculating the radar channel confidence coefficient, the RGB channel confidence coefficient and the ToF channel confidence coefficient of each target in the associated target set, and outputting an unlocking trigger instruction. According to the method, the blind area detection time is shortened, and the detection robustness and the recognition accuracy in complex illumination and shielding scenes are improved.

The invention relates to a high-frequency millimeter-wave radar flue dust deposition online monitoring method and system, and belongs to the technical field of industrial process detection.The monitoring method comprises the steps that a flue three-dimensional structure model is loaded, working parameters of a millimeter-wave radar are configured, and a radar scanning space coordinate system is generated; controlling the millimeter-wave radar to transmit a frequency-modulated continuous wave signal; performing temperature drift compensation on the ash deposition layer reflection signal, and outputting a compensated radar signal intensity matrix; solving a flow field distribution equation in combination with the flue three-dimensional structure model, calculating a flow field turbulence intensity coefficient, and generating a radar signal correction mapping table; calculating the ash deposition thickness of each space coordinate point based on the signal propagation time delay, and outputting an ash deposition thickness distribution map; and extracting a thickness gradient feature vector and a Doppler frequency shift feature in the soot deposition thickness distribution diagram, inputting the thickness gradient feature vector and the Doppler frequency shift feature into a soot deposition state classification model, outputting a soot deposition abnormal region coordinate set, and generating a soot blower control instruction or a maintenance alarm instruction. According to the invention, the ash deposition monitoring precision and stability can be improved.

This invention discloses a fall detection method based on millimeter-wave radar, comprising the following steps: S1: The millimeter-wave radar continuously transmits frequency-modulated continuous wave signals and receives echo signals reflected by the human body within the monitoring area; S2: The echo signals are processed to generate human point cloud time-series data containing distance, orientation, velocity, and micro-motion information; S3: Multi-dimensional feature vectors representing human posture and motion state are extracted from the human point cloud time-series data; S4: The multi-dimensional feature vectors are input into a primary fall recognition model to calculate a preliminary fall risk probability value; S5: If the preliminary fall risk probability value exceeds a first set threshold, it is determined to be a suspected fall event, and a secondary precise authentication process is immediately initiated; the secondary precise authentication process includes: initiating non-contact vital sign monitoring and retrieving the user's recent behavioral dynamic baseline model for comparative analysis. This invention enables more accurate fall detection.

The invention relates to a shared space multi-user silent voice interaction method and device and a medium, and the method comprises the following steps: taking a frequency modulation continuous wave signal as an audio carrier and a sensing medium at the same time, directionally broadcasting an audio in a shared space, and capturing a silent voice signal in a multi-user scene through lip motion reflection; performing feature extraction and separation on the silent voice signals to obtain silent voice features of each user; on the basis of silent voice features, a lip movement analysis model driven by an integrated sliding window is adopted, silent voice content of a user is recognized in real time, and real-time interaction is achieved. Compared with the prior art, multi-user silent voices can be accurately recognized in a complex environment, and silent interaction in a privacy sensitive scene is achieved.

The application provides a remote acoustic signal pickup method and system based on phase coding microwave sensing, comprising: constructing a phase coding matrix, and performing phase shift control on the transmission signals of multiple transmission antennas; controlling the multiple transmission antennas to simultaneously transmit a linear frequency modulation continuous wave signal, so that the main lobe of a synthesized beam is directed towards the direction of a to-be-detected acoustic source or the direction of a target medium; using one or more receiving antennas to receive echo signals of the acoustic source target, to obtain a corresponding number of baseband signals; performing acoustic vibration phase demodulation on the corresponding number of baseband signals, to extract vibration information of the surface of the medium target caused by the vibration information of the acoustic source or caused by the excitation of the acoustic wave; and reconstructing the acoustic signal, to realize remote acoustic pickup. The application overcomes the problems of weak echo signals, low signal-to-noise ratio, large adjacent target interference and low quality of reconstructed acoustic signals in remote acoustic pickup, and improves the signal-to-noise ratio and sensing distance of remote acoustic pickup.

The present application belongs to the technical field of oil and gas drilling equipment, and particularly relates to a double-period QPSK continuous wave signal detection method, aiming at solving the problem that the prior art cannot accurately detect and identify drilling fluid pulse signals. The method comprises: collecting a drilling fluid continuous pressure wave QPSK output signal as a measurement-while-drilling signal; wavelet-decomposing the measurement-while-drilling signal to obtain a noisy drilling fluid pulse signal and a noise signal; combining the noise signal, and filtering the noisy drilling fluid pulse signal through a pre-constructed RBF neural network nonlinear adaptive filter to obtain a noise-filtered drilling fluid pulse signal. The present application realizes accurate detection and identification of drilling fluid pulse signals.

The invention discloses a frequency-modulated continuous wave laser radar signal generation method, a frequency-modulated continuous wave laser radar signal detection method and a frequency-modulated continuous wave laser radar signal detection system. The system comprises a transmitting end and a receiving end, wherein the transmitting end determines a frequency guard interval between a frequency-modulated continuous wave signal and zero frequency according to a modulation bandwidth of a radar signal and a line width of a transmitting laser; generating a frequency modulation continuous wave signal according to the frequency protection interval, modulating the frequency modulation continuous wave signal, generating radar detection signal light which is to be sent and contains residual carrier waves, performing power amplification on the radar detection signal light, and transmitting the radar detection signal light by using an optical lens; the receiving end receives the reflected signal light reflected by the target; filtering, beat frequency and coherent detection are carried out on the reflected signal light and the radar detection signal light to obtain an electric signal, and the electric signal is converted into a digital signal; performing electric domain filtering on the digital signal, and extracting a residual carrier and a beat frequency signal; performing phase noise compensation on the beat frequency signal based on the residual carrier to obtain a signal after phase recovery; and estimating the distance and the relative speed of the target based on the residual carrier and the phase-recovered signal.

The present invention relates to the technical field of river section flow field distribution, and specifically to a method for determining river section flow field distribution and an unmanned aerial vehicle (UAV) device. The method includes obtaining the location information of the UAV device based on a positioning component; obtaining the continuous wave signal sent by the ultrasonic radar component and the reflected wave signal corresponding to the received continuous wave signal; determining the surface flow velocity at a preset position in the preset river section corresponding to the location information based on the continuous wave signal and the reflected wave signal; obtaining the laser radar signal emitted by the laser radar component and the target reflected radar signal corresponding to the received laser radar signal; determining the calculated riverbed topography at the preset position in the preset river section corresponding to the location information based on the laser radar signal and the target reflected radar signal; and determining the three-dimensional flow field distribution corresponding to the preset river section based on the surface flow velocity and the calculated riverbed topography corresponding to each preset position. The method has low labor costs and high efficiency, and does not require manual measurement of data such as water flow velocity and water level corresponding to each position in the preset river section.

Methods, systems, and devices for wireless communication are described. A first wireless device may receive, from a second wireless device, a first frequency modulated continuous waveform (FMCW) signal via an orthogonal frequency division multiplexing (OFDM) channel. The first wireless device may generate a second FMCW signal based on a set of FMCW parameters associated with the first FMCW signal. The first wireless device may combine the first and second FMCW signals and filter the combined FMCW signal. The first wireless device may sample the combined and filtered FMCW signal in a time domain. The first wireless device may estimate the frequency domain OFDM channel based on sampling the combined and filtered FMCW signal. The first and second wireless devices may communicate OFDM signals via the OFDM channel based on the estimation of the frequency domain OFDM channel.

The invention discloses a vehicle-mounted communication perception integrated system based on a millimeter wave radar AWR1642, and the system achieves the generation, emission and receiving of a linear frequency modulation continuous wave LFMCW signal of a 77GHz frequency band through an AWR1642 monolithic integrated chip, and synchronously completes the environment perception and data communication functions on the same hardware platform. Based on an AWR1642 single-chip scheme, a communication sensing integration function is realized, and system cost and power consumption are greatly reduced through waveform sharing and modulation strategy optimization. Actual measurement results show that the system can effectively process received communication signals while achieving long-distance and high-precision effective sensing, and a solution with high cost performance is provided for an intelligent connected automobile.

The present invention discloses a multi-person vital sign monitoring method based on millimeter-wave radar, comprising: using a millimeter-wave radar to transmit a frequency-modulated continuous wave signal to a human body and extracting an intermediate frequency signal; estimating the azimuth angle of the human body relative to the radar and using digital beamforming; generating a distance-azimuth heat map; estimating the elevation angle of the human body relative to the radar and extracting a distance-azimuth heat map corresponding to the obtained elevation angle; determining detection points of different human bodies and extracting intermediate frequency signals of different human bodies based on the distance-azimuth-elevation angle; and estimating heart rate and respiratory rate. The present invention realizes non-contact multi-person vital sign monitoring. By jointly estimating the distance-azimuth-elevation angle, the echo signals of different human bodies in the radar monitoring scene can be effectively separated, thereby removing interference signals in the monitoring scene. In addition, the heart rate and respiratory rate are jointly estimated using multiple algorithms, thereby improving monitoring accuracy and ensuring good monitoring effects.