182 results about "Continuous-wave radar" patented technology

A linear chirp radar system, apparatus and method use a radar control processing unit to control an LFM radar front end which generates analog-to-digital (ADC) sample signals from one or more target return signals received in response to transmitted linear chirp radar signals, where the radar control processing unit is connected and configured to mitigate range migration by directly filtering the ADC samples using a modified Doppler filter that is tuned to fast-time scaled, slow-time frequencies to generate a focused ADC Doppler cube, and by applying a Fourier Transform on each Doppler cell in the focused ADC Doppler cube to generate a focused range-Doppler cube.

The invention provides a fixed underground coal mine rock wall vibration monitoring and alarming device and method, and belongs to the field of mine vibration monitoring and early warning. The problems that the mine environment is complex, most collected signals are noisy signals, the monitoring accuracy of a conventional linear fusion algorithm is poor, and full early warning cannot be performed under the condition that obvious crack propagation does not occur are solved. Based on a multi-sensor fusion technology of a linear frequency modulation continuous wave radar and an acoustic emission piezoelectric micro-vibration sensor, through a micro-vibration monitoring system and a ground receiving end, real-time monitoring is carried out on deformation displacement, micro-vibration frequency and energy and seismic source information of a rock mass in combination with multiple sensors; fusion processing is carried out on data of multiple sensors by means of a prediction filtering algorithm, interference of environmental factors on monitoring results is reduced, and efficient and comprehensive monitoring and early warning are achieved.

A monitoring system is presented for monitoring vital signs of subject(s). The monitoring system includes a control system configured for signal communication with a frequency modulated continuous wave (FMCW) radar to process measured data which is received from a single-channel front end of receiver of said FMCW radar and which is in the form of data matrix indicative of consecutive beat signals. The control system comprises a data processing utility comprising: a localization module configured and operable to process the measured data indicative of said data matrix and provide support recovery data indicative of the received signals originated at localized one or more subjects; and a vital signs monitoring module configured and operable to analyze the support recovery data and monitor vital signs of said localized one or more subjects.

The invention relates to an unmanned aerial vehicle detection method based on a frequency modulated continuous wave radar, and belongs to the field of radar technology and deep learning. The objective of the invention is to solve the problems of low detection accuracy, low robustness and low reliability of an existing unmanned aerial vehicle. The method comprises the following steps: obtaining a trained new feature extractor, a feature fusion unit and an unmanned aerial vehicle detection network; extracting the echo signal of the unmanned aerial vehicle from the echo signal to be detected, and performing micro-Doppler feature extraction to obtain micro-Doppler features; inputting a to-be-detected echo signal into the trained feature extractor, and outputting deep features by the trained feature extractor; based on a trained feature fusion unit, performing feature fusion on the micro-Doppler features and the deep features to obtain dynamically weighted fusion features; and inputting the dynamically weighted fusion features into the trained unmanned aerial vehicle detection network, and outputting a detection result by the trained unmanned aerial vehicle detection network.

The invention discloses a non-contact electrocardiosignal monitoring reconstruction method and system based on time-frequency domain combination, and relates to the technical field of radar signal processing, and the method comprises the following steps: obtaining a chest wall vibration signal S of a to-be-detected person by adopting a frequency-modulated continuous wave radar; separating a heart mechanical motion signal SH from the chest wall vibration signal S; and converting the heart mechanical motion signal SH into an electrocardiosignal ECG through a pre-established ResNet architecture neural network model. Time domain loss and frequency domain loss are used for training a ResNet architecture neural network model, and the error between the calculated heart rate and the real heart rate is quantified through the mean absolute error and the root-mean-square error. According to the method, the neural network capable of being used for ECG signal conversion is designed based on the ResNet architecture, after the neural network is subjected to data training, more detailed signal features can be learned, the fitting accuracy is improved, then the ECG waveform can be accurately predicted, and non-contact electrocardiosignal monitoring and reconstruction are achieved.

A sensor system includes a first metamaterial track mechanically coupled to a rotational shaft configured to rotate about a rotational axis, wherein the first metamaterial track is arranged at least partially around the rotational axis, and wherein the first metamaterial track includes a first array of elementary structures; at least one transmitter configured to transmit a first continuous wave towards the first metamaterial track, wherein the first metamaterial track is configured to convert the first continuous wave into a first receive signal based on a rotational parameter of the rotational shaft; and at least one quadrature continuous-wave receiver configured to receive the first receive signal, acquire a first measurement of a first property of the first receive signal, and determine a measurement value for the rotational parameter of the rotational shaft based on the first measurement.

The invention discloses a multi-node mutual positioning method and system in a complex environment, each node can be set as a master node or a slave node, and the nodes realize a mutual positioning function by transmitting and receiving triangular wave frequency modulation continuous wave signal waveforms; when working in a master node mode, the node is synchronized with working signals of other slave nodes through coarse synchronization and fine synchronization steps, then distance information of the slave nodes is obtained through round-trip flight time calculation, distance information of the slave nodes is obtained through Doppler frequency shift calculation, angle information of the slave nodes is estimated through a DOA method, and positioning of the slave nodes is completed; when the node works in the slave node mode, a to-be-synchronized signal sent by the master node is waited, the to-be-synchronized signal is synchronized with the signal of the master node through the steps of coarse synchronization and fine synchronization, and then the synchronized signal is sent to the master node so that the master node can locate the position of the slave node. According to the method, high-precision mutual positioning among multiple nodes is realized through a working principle of realizing the frequency modulation continuous wave radar among the nodes.

The invention provides a blood pressure detection method and device based on a frequency modulated continuous wave radar and electronic equipment, and can be applied to the technical field of signal processing. The method comprises the steps that a radar echo signal is acquired, and the radar echo signal is acquired at a preset height position away from a neck-chest area of a target object; performing beam focusing processing and phase demodulation processing on the radar echo signal to obtain pulse wave signals at different positions and angles in the neck-chest area; pulse wave time features and pulse wave clustering features of the pulse wave signals are extracted, the pulse wave time features represent phase information of pulse waves collected at different positions in the neck-chest area, and the pulse wave clustering features represent the similarity between the pulse waves collected at different angles in the neck-chest area; inputting the pulse wave time features and the pulse wave clustering features into a blood pressure detection network, and outputting a blood pressure detection result of the target object.

The invention relates to the technical field of linear frequency modulation continuous wave (LFMCW) radar signal processing, and discloses a multi-dimensional domain interference suppression method based on LFMCW radar echo characteristics, and the method mainly comprises the steps: firstly, carrying out the weighted beam forming of an array receiving signal in a space domain, so as to reduce the interference influence in an unexpected direction; performing short-range gain control filtering and time domain compression in a fast time domain; moving target display, moving target detection and adaptive motion clutter elimination are carried out in the Doppler frequency domain; and then carrying out improved variable index constant false alarm detection in an energy domain, reducing the influence of energy fluctuation interference, and finally outputting a multi-dimensional domain interference suppression result. According to the method, the interference is effectively suppressed in the airspace, the fast time domain, the Doppler frequency domain and the energy domain through the characteristics of the LFMCW radar echo signal, on one hand, the problem of overload of a radar receiver caused by strong interference can be avoided, and on the other hand, the target detection capability and the false alarm resistance of the radar in a complex environment are improved.

In one embodiment, a frequency-modulated continuous-wave (FMCW) radar-lidar system for an autonomous driving vehicle (ADV) includes one or more lidar frontends configured to generate one or more frames of lidar data. The system includes one or more radar frontends configured to generate one or more frames of radar data. The system includes a plurality of input / output (I / O) interfaces, each corresponding to one of the one or more lidar or radar frontends to receive the radar or lidar data. The system includes an edge device coupled to the plurality of input / output (I / O) interfaces, where the edge device receives the radar data or lidar data for processing to generate a set of 4D point clouds from the radar or lidar data, and the set of 4D point clouds are used to perceive a surrounding environment of the ADV.

The invention discloses a frequency modulation continuous wave radar multi-target dynamic separation and anti-interference method and system based on synchronous extraction transformation, and the method comprises the steps: S1, generating a linear frequency modulation continuous wave, and transmitting a high-frequency signal through a radio frequency front end; s2, receiving a target reflection signal, mixing the target reflection signal with the emission signal through a mixer, extracting an intermediate frequency beat signal, and performing denoising; s3, performing time-frequency decomposition on the signal by adopting synchronous extraction transformation to generate a high-resolution time-frequency distribution matrix; s4, separating overlapped targets based on the time-frequency matrix by adopting a density clustering algorithm, eliminating a distance-speed coupling error in combination with a dynamic decoupling compensation algorithm, and outputting a time-frequency track of an independent target; constructing a dynamic time-frequency domain mask filter to filter noise, and optimizing the detection sensitivity and performing false alarm control through an adaptive threshold detection mechanism; according to the method, dense targets are accurately separated through high-resolution time-frequency analysis, and the anti-interference capability and the dynamic target tracking precision are improved in combination with a dynamic Doppler decoupling algorithm.

A mechanism for generating a modulation signal for use in a radar system. The modulation signal includes a sequence of chirps. Each chirp includes an active period, a transition period and an idle period. During the active period, the frequency of the chirp moves from a start frequency to an end frequency. During the transition period, the frequency of the chirp moves towards the start frequency of the next chirp. The rate of change of the frequency, during the transition period, is different for different chirps of the modulation signal.

The invention relates to the technical field of frequency-modulated continuous wave radars, and discloses a nonlinear error correction method, system and device for an FMCW radar and a medium, and the method comprises the steps: obtaining a difference frequency signal containing a nonlinear error, and extracting a first time frequency signal; performing phase fitting on the first time frequency signal to obtain a first time frequency signal error coefficient, and performing error coefficient conversion on the first time frequency signal error coefficient to obtain a difference frequency signal error coefficient; constructing a matching signal according to the difference frequency signal error coefficient, and performing demodulation and low-pass filtering on the difference frequency signal according to the matching signal to obtain a residual signal; judging a signal type, and calculating a residual signal error coefficient by adopting a corresponding optimization algorithm; and combining the difference frequency signal error coefficient and the residual signal error coefficient to obtain a phase error correction factor, and performing nonlinear correction on the resampled difference frequency signal according to the phase error correction factor. The estimation precision of the nonlinear error coefficient can be improved, and the overall performance of a radar system is improved.

A radar device may generate an integrated range-velocity map by combining data from a plurality of range-velocity maps. Each range-velocity map may be associated with a respective radar channel from a plurality of radar channels. The radar device may identify a first peak in the integrated range-velocity map. The first peak may indicate one or more radar targets in the integrated range-velocity map and being identified by a first bin having a first range-velocity bin index. The radar device may determine a first data set by extracting, from each range-velocity map, data that is included in a respective bin associated with the first range-velocity bin index. The radar device may process the first data set to determine a first set of phase imbalances associated with the plurality of radar channels.

A linear chirp radar system, apparatus and method use a radar control processing unit to control an LFM radar front end which includes a frequency-scanning transmit antenna and a frequency-scanning receive antenna which respectively sweep a transmit and receive energy focus across an angle space with each linear chirp signal, where the radar control processing unit processes digital output signals generated from target return signals received in response to transmitted linear chirp signals and extracts target range-angle information by applying time-frequency analysis processing to the digital output signals to generate a first range-angle map which includes range-biased angle information, and then applying a group delay compensation process to generate a second range-angle map which includes target range-angle information that is generated by selectively adjusting the range-biased angular information in the first range-angle map with an angular adjustment.

The invention discloses a fractional frequency division frequency synthesizer with output signal phase synchronization and frequency modulation continuous wave functions, and the basic structure is a charge pump phase-locked loop. Comprising a phase frequency detector, a first charge pump, a second charge pump, a low-pass filter, a voltage-controlled oscillator, a first buffer, a second buffer, a two-frequency divider chain, an IQ undersampling circuit, a local oscillator generator, a programmable multimode frequency divider, a Delta-Sigma modulator (DSM), a first selector, a second selector, a third selector, a tracking phase accumulator, a numerical control oscillator, an accumulation phase difference register and an atan2 logic circuit. The device comprises a main phase control circuit, a phase adjusting circuit, an enabling control circuit, a waveform generator and a serial peripheral interface. The decimal frequency-division frequency synthesizer can be applied to a general-inductance integrated system, ensures that output signals provided by a plurality of decimal frequency-division frequency synthesizers are consistent in phase in a multi-channel radio frequency transceiving system adopting a multi-chip splicing mode, and can also be applied to the general-inductance integrated system as a sensing signal source; and the speed and the distance of an object can be quickly sensed by the high linearity and the quick chirp capability of an output signal. The decimal frequency division frequency synthesizer is applied to a linear frequency modulation continuous wave radar system, initial phase synchronization can be carried out firstly, then frequency continuous modulation is carried out, and measurement errors can be eliminated. In view of functional similarity of partial modules of the synchronous loop and the FMCW loop, such as a phase frequency detector, a charge pump, a voltage-controlled oscillator and the like, the modules can be shared, so that the power consumption and area cost of the system are remarkably reduced.

The invention discloses a continuous wave high-isolation transceiving phased-array antenna, belongs to the technical field of phased-array antennas, and solves the problem of how to improve the isolation of the transceiving phased-array antenna. Comprising a metal floor, and a transmitting phased array, a receiving phased array and a choke groove which are arranged on the upper surface of the metal floor; the choke groove is arranged between the transmitting phased array and the receiving phased array; the choke groove comprises a first isolation plate and a second isolation plate; the first isolation plate and the second isolation plate are arranged in parallel along the y axis, a wave-absorbing material is arranged on one surface, far away from the second isolation plate, of the first isolation plate, and a wave-absorbing material is arranged on one surface, far away from the first isolation plate, of the second isolation plate; according to the invention, the isolation degree between the continuous wave transmitting and receiving array surfaces is improved by optimizing the array layout and pasting the wave absorbing material on the double-layer isolation plate, and the antenna can be widely applied to a continuous wave radar system, can meet the isolation degree requirement of the antenna in different scanning states, and has good engineering application value.

The invention relates to the technical field of laser radars, in particular to a non-aliasing frequency-modulated continuous wave radar detection system and method, and the system comprises a light source, a beam splitter, a circulator, a 90-degree mixer, a signal conversion module and a signal processing unit. The signal processing unit is configured to construct a composite vector signal S based on the first electric signal I and the second electric signal Q, S = I + jQ, j is an imaginary part operator, obtain a double-sideband spectrum based on the composite vector signal S, determine the frequency of a signal peak in an upper frequency sweeping period and the frequency of a signal peak in a lower frequency sweeping period in the double-sideband spectrum, and determine the frequency of the signal peak in the upper frequency sweeping period and the frequency of the signal peak in the lower frequency sweeping period; and obtaining the distance and speed of the target to be measured based on the frequency of the signal peak in the upper frequency sweeping period and the frequency of the signal peak in the lower frequency sweeping period. According to the invention, the problem of signal aliasing during detection of the to-be-detected target can be solved at least.

A TDM MIMO FMCW radar comprises at least one row of physical receivers with a first spacing (dr) in a first direction, and further comprises a plurality of physical transmitters arranged with a second spacing (dt) in said first direction. To determine whether a peak in an angle spectrum corresponds to a direct reflection or a first-order multipath artefact, an inverse phase-shift vector corresponding to a phase ({circumflex over (ϕ)}1) of the peak is applied and a constant signal with the amplitude of the peak is subtracted. To the thus obtained intermediate signal (v), a further inverse phase-shift vector—now corresponding to an offset phase (Δ{circumflex over (ϕ)}) of the two leading peaks of the angle spectrum—after which a constant signal is subtracted. It is then detected whether the thus obtained test signal (w) has any non-noise content. If yes, the peak corresponds to a multipath artefact, and otherwise to a direct reflection.

The invention discloses a non-contact electrocardiosignal measuring device and a measuring method thereof, and relates to the technical field of radar signal detection, the non-contact electrocardiosignal measuring device comprises a multi-domain joint modulation micro-motion signal deentanglement module and a signal reconstruction network based on time-frequency domain transformation; the multi-domain joint modulation micro-motion signal de-entanglement module is configured to receive a radar waveform obtained by electrocardiosignal acquisition by a millimeter wave frequency modulation continuous wave radar and extract a heart mechanical motion signal from the radar waveform; the signal reconstruction network based on time-frequency domain transformation is configured to receive the extracted heart mechanical motion signal, learn and construct a nonlinear relation between the heart mechanical motion signal and the electrocardiosignal, and output a predicted electrocardiosignal according to the heart mechanical motion signal. The problem of how to extract the heart mechanical motion signal by using a radar technology and avoid a noise signal generated by interference factors is solved, and the predicted electrocardiosignal is obtained through the heart mechanical motion signal.

The invention relates to a radar data correction method and device, computer equipment and a storage medium. The method comprises the steps of determining an installation deviation angle of an external meteorological station according to a fitting result of an azimuth angle and a radial wind speed in multiple groups of first radar data measured by a continuous wave radar in a preset period; according to the installation deviation angle, symbol information of radial wind speed in each group of first radar data is determined; and performing motion correction on the first radar data according to a preset turbulence correction algorithm and inertia measurement data measured by an inertia measurement unit to obtain target radar data. The method can improve the accuracy of wind direction and wind speed measurement results.

An indoor optimization positioning method of an MIMO frequency modulation continuous wave radar comprises the following steps: after a data matrix is generated based on an echo signal after analog-to-digital conversion, filtering an environment static target and radio frequency leakage by using a time domain filtering technology, and after the data matrix after the time domain filtering is carried out, carrying out indoor optimization positioning on the MIMO frequency modulation continuous wave radar based on the data matrix after the time domain filtering; the actual distance between the target and the radar is calculated through distance dimension fast Fourier transform, the speed Doppler of the target relative to the radar is calculated through speed fast Fourier transform, so that a distance Doppler spectrum is generated, after the signal-to-noise ratio is increased through multi-channel data incoherent accumulation, the total number of the targets is estimated through a constant false alarm rate (CFAR) algorithm, and the distance Doppler spectrum is obtained. Obtaining distances and speeds corresponding to different target points; and finally, angle estimation is carried out on each point on the CFAR through a super-resolution solution angle algorithm (ESPRIT) to obtain angle information, distance, speed and angle data matching is carried out through digital beam forming (DBF), distance, angle and speed data of a corresponding target are obtained, and a two-dimensional coordinate of the target is correspondingly obtained. According to the invention, the number of human body target point clouds can be increased while human body coordinates, speed and angle information are accurately obtained, and the method has the advantages of high interference resistance, low requirement on the signal-to-noise ratio of data and low dependence degree on the external environment.

A system may include a radar-based tracking system, an image-based tracking system, one or more processors, and one or more computer-readable recording media that store instructions that are executable by the one or more processors to configure the system to: (i) obtain, via the radar-based tracking system, radar-based measurement data; (ii) utilize the radar-based measurement data as input to an event detection module to generate event detection output; and (iii) when the event detection output satisfies one or more conditions, selectively activate the image-based tracking system to enable acquisition of image-based tracking data to facilitate positional tracking of an object.

The invention provides an auxiliary identification method and device for single-phase depression and double-phase depression. The method comprises the steps that a millimeter wave frequency modulation continuous wave radar is used for collecting thoracic cavity micro-motion signals of a subject in a non-contact mode; filtering and phase demodulation are carried out on the thoracic cavity micro-motion signal, respiration components and heartbeat components are separated, and an RR interval sequence is extracted from the heartbeat components; calculating heart rate variability characteristics according to the RR interval sequence, wherein the heart rate variability characteristics comprise a time domain index, a frequency domain index and a nonlinear index; and inputting the heart rate variability characteristics into a pre-trained auxiliary identification model to obtain a depression identification result of the subject. According to the invention, a non-contact measurement method is adopted, so that stress reaction possibly caused by a contact sensor is avoided, and interference to physiological signals is reduced; and meanwhile, complex features in the data can be automatically extracted by using a deep learning model, so that the identification accuracy and generalization ability are improved.

An electric machine includes: a stator, which includes a radial inner edge and an opening; and a rotor, which defines a rotational axis and which includes a monitoring unit and a radial outer edge, the monitoring unit including a radar system, the radar system being a frequency-modulated continuous wave radar system which is configured for detecting a part of the stator and a part of the rotor, the radar system being configured for emitting a plurality of beams, the electric machine being configured such that the plurality of beams emitted by the radar system (i) impinge upon the rotor through the opening and (ii) penetrate an air gap between the radial outer edge of the rotor and the radial inner edge of the stator in a radial direction.

A phased array frequency-modulated continuous-wave (FMCW) radar system configured to transmit, using a plurality of antennas, a plurality of chirps, wherein each chirp within the plurality of chirps includes at least one temporal characteristic, and wherein the at least one temporal characteristic is pseudo-random for a portion of the plurality of chirps, to receive, using the plurality of antennas, a plurality of chirp reflections off one or more targets, to create, using a mixer, an intermediate frequency based on the plurality of chirps and the plurality of chirp reflections, and to determine, based on the intermediate frequency and the at least one temporal characteristic, a target attribute associated with the one or more targets.

The present invention relates to an array antenna for two-dimensional interferometric angle measurement of continuous wave radar, belonging to the field of antenna technology. It comprises a transmitting horn antenna, seven receiving horn antennas, a partition wall and an isolation bottom plate. A transmitting horn antenna and seven receiving horn antennas constitute the array surface of the array antenna, wherein the transmitting horn antenna is located at the upper right corner of the entire array surface, and the seven receiving horn antennas form an L shape and are located at the lower left corner of the entire array surface; the pitch and azimuth dimensions each include four receiving horn antennas, and the receiving horn antenna at the apex of the L shape is shared by the azimuth and pitch dimensions. The isolation wall and the isolation bottom plate can improve the isolation between the transmitting and receiving antennas, the transmitting horn antenna transmits electromagnetic wave signals, and the seven receiving horns are arranged at a certain interval to receive target echo signals, and the azimuth and pitch dimensions are measured by double baselines.

The invention discloses a terahertz frequency modulation continuous wave radar signal processing system and method based on an FPGA. The system comprises an A / D acquisition control module, a digital down-conversion module, a fast two-dimensional Fourier transform module, a non-coherent accumulation module and a constant false alarm detection module. The method comprises the following steps that: the A / D acquisition control module samples an analog echo signal; the digital down-conversion module performs digital down-conversion processing on the sampling signal to obtain baseband echo I and Q data; the fast two-dimensional Fourier transform module is used for carrying out FFT (Fast Fourier Transform) on baseband echo I and Q data to obtain a range profile of a target, and the non-coherent accumulation module is used for carrying out amplitude accumulation and averaging on a plurality of target range profiles in different periods in the same wave beam; and the constant false alarm detection module compares and judges the signal amplitude of the detection unit with a set threshold to obtain a false alarm detection result. The method has the advantages of being high in real-time performance, high in reliability, simple in design, high in adaptive capacity and wide in application range.

According to the wind turbine generator blade icing dynamic early warning system provided by the invention, through omnibearing monitoring of the frequency modulation continuous wave radar group, the orthogonal weaving piezoelectric fiber array and the infrared temperature measurement unit, airspace water drop distribution, blade vibration characteristics and multi-dimensional dynamic changes of a surface temperature field are accurately captured; by combining improved Kalman filtering, wavelet transformation and a dynamic weight distribution algorithm of an intelligent decision module, traditional single threshold judgment is upgraded to comprehensive threat index deduction based on digital twinborn bodies, and the temporal-spatial resolution and reliability of icing threat assessment are remarkably improved; the execution control module achieves heating network partition accurate regulation and control and unit operation state collaborative optimization according to the generated anti-icing strategy, energy waste of traditional global heating is avoided, material damage caused by local overheating or underheating is effectively restrained, finally, anti-icing energy consumption is reduced under the complex meteorological condition, and the anti-icing efficiency is improved. And meanwhile, the power generation efficiency loss of the unit under the icing working condition is greatly reduced.

The utility model provides a transmit-receive device applied to continuous wave radar communication, which comprises a radar mounting bottom plate, a rotary adjusting seat is arranged at the upper end of the radar mounting bottom plate, a communication transmit-receive antenna is arranged at the output end of the rotary adjusting seat, a communication transmit-receive end is arranged on the communication transmit-receive antenna, and the communication transmit-receive end is connected with the rotary adjusting seat. The communication transceiving antenna comprises an antenna body, the antenna body is rotatably mounted on the adjusting support shell through an antenna fixing support, the antenna fixing support comprises a left support plate and a right support plate, and a reinforcing support rod is arranged between the left support plate and the right support plate. One end of the left supporting plate with the supporting plate is fixed on the antenna body, the other end of the left supporting plate with the supporting plate is installed on the adjusting supporting shell through the rotary supporting seat, and the rotary supporting seat is installed on the adjusting supporting shell through the rotary locking bolt. And the device can be portable and is very convenient to use.