152 results about "Wideband radar" patented technology

The invention relates to the technical field of engineering, in particular to a geomembrane defect detection system and method under the earth and stone medium coverage condition, and the geomembrane defect detection system comprises a multi-mode adaptive sensing module, an edge calculation module, a data fusion module, a digital twinning module and a decision and application module; compared with the defects that single resistivity or geological radar detection is adopted in the prior art, interference of medium conductivity and metal impurities is likely to happen, and the deep resolution is insufficient, the scheme adopts multi-mode sensor network cooperative work, and a dynamic density layout and time-phased acquisition strategy is combined; through multi-mode complementation of an electrode array, an ultra-wideband radar, a distributed optical fiber and an MEMS vibration sensor, a dominant sensing mode is automatically switched in a conductive clay area, temperature gradient interference is avoided through night acquisition, the penetration depth is increased to 15 meters through multi-band radar fusion, and metal interference is inhibited; the detection precision and the anti-interference capability in a complex medium environment are remarkably improved, and the problems of high false alarm rate and high omission ratio of a traditional method are effectively solved.

The invention discloses a non-uniform clutter and interference cooperative suppression target fusion detection method and system, and relates to the technical field of broadband radar signal processing, and the method comprises the steps: carrying out the unitary transformation of test data, a clutter covariance matrix, a target coordinate matrix and an interference coordinate matrix based on the skew symmetry of the clutter covariance matrix; constructing a distance extension target Gradient detection statistical magnitude under the condition of a known clutter skew symmetry covariance matrix; calculating the maximum likelihood estimation of the clutter skew symmetry covariance matrix; based on the maximum likelihood estimation of the clutter skew-symmetric covariance matrix and the distance expansion target Gradant detection statistic, constructing a target detection statistic of non-uniform clutter and interference cooperative suppression; performing target fusion detection on the target detection unit based on the target detection statistical magnitude and a preset detection threshold; according to the invention, the technical problems of complex construction process and high calculation complexity of the target detector in the prior art are solved.

The invention provides a heart rate and breath prediction method, a program product, electronic equipment and a storage medium. The method comprises the following steps: acquiring an original signal sequence acquired from a human body through an ultra-wideband radar; determining a thoracic cavity displacement signal according to a mapping relation between the phase change and thoracic cavity displacement; performing multi-domain feature extraction on the thoracic cavity displacement signal to obtain multi-domain features; the multi-domain features comprise time domain features, frequency domain features and time-frequency domain features; on the basis of the multi-domain features, prediction values are obtained through a pre-trained prediction model, and the prediction values comprise the heart rate and the respiratory rate in the future time period. The robustness of the algorithm is enhanced through multi-dimensional feature fusion, high precision is still kept in an electromagnetic interference or multi-target scene, and the reliability of heart rate and respiratory rate prediction in a complex environment is improved. The physical signal advantage of the ultra-wideband radar is complementary with the environmental adaptability of the neural network, and the prediction accuracy of the heart rate and respiratory rate is improved.

The invention discloses an integrated phased-array antenna for reducing the scattering cross section of a broadband radar. The phased-array antenna is formed by periodically arranging M * N array antenna unit structures, the array antenna unit structure comprises a loss layer and an antenna layer, the loss layer and the antenna layer are separated by an air layer, and the loss layer and the antenna layer are supported by nylon columns. By adopting the technical scheme of the invention, the ultra-wideband radar cross section (RCS) reduction characteristic is realized, and the probability that a target is detected by a radar can be effectively reduced in a wideband range; + / -45-degree flexible beam scanning capability is realized, and large-range space detection coverage can be realized; and the wide-angle optical system has good angle stability, and can still keep stable and reliable performance in a wide incident angle range.

The invention relates to the technical field of parallel processing, and discloses an FPGA (Field Programmable Gate Array)-based ultra-wideband radar data processing method, which comprises the following steps of: acquiring ultra-wideband radar signals through a radio frequency direct acquisition framework, generating a noise reduction data stream, generating a target rate data stream, and acquiring a target rate data stream by setting the radio frequency direct acquisition framework and a plurality of division modules. When ultra-wideband radar signals are processed, GHz-level original data streams are directly captured, intelligent parallel path division is carried out, the feasibility of high-sampling-rate signal processing is guaranteed, meanwhile, the data streams are decomposed into multiple parallel processing channels, the synchronization problem and the spectrum integrity problem in a traditional narrowband method can be avoided in real time, and the method can be applied to the field of ultra-wideband radar signal processing. According to the method, the signal acquisition accuracy and the system reliability are ensured, the data processing error is further reduced, and the frequency deviation can be dynamically corrected through a zero-frequency centralization strategy in the frequency spectrum shifting process, so that the system can reduce the resource bottleneck and the signal distortion risk in single-path processing, and the signal purity and the anti-interference capability are ensured.

The invention relates to the technical field of broadband radar signals, and provides a radar target robust intelligent detection and interference adaptive suppression method and system, and the method comprises the steps: carrying out the decorrelation transformation of received data and a parameter matrix through employing the skew symmetry characteristic of a clutter covariance matrix, and completing the preprocessing of initial data; carrying out correlation calculation estimation under the condition of no target hypothesis and under the condition of target hypothesis, and constructing distance extension target Gradient detection statistics under the condition of a known clutter skew symmetry covariance matrix; constructing a detection statistic lambda of the radar target robust intelligent detection and interference adaptive suppression method; and determining a detection threshold T through theoretical calculation or Monte Carlo simulation according to a preset false alarm probability, comparing the detection statistic lambda with the detection threshold T, and judging whether a distance expansion target exists in the current distance unit to be detected or not according to a comparison result. According to the method, an analytical expression design is adopted, a complex iterative calculation process is avoided, and the operation efficiency is improved.

The invention discloses a plasma sheath coated target broadband one-dimensional range profile improved compensation method, system and device and a medium, and the method comprises the steps: calculating a broadband radar echo signal through set radar and target flight parameters, and carrying out the delineation frequency modulation of the broadband radar echo signal; after fractional order Fourier transform is carried out on the broadband radar echo signal, peak value searching is carried out, and an obtained peak value coordinate is used as an initial value of iteration of a BFGS optimization algorithm for optimization; the coupling speed of a plasma sheath coating target is calculated by using the optimized peak coordinates, a compensation factor is constructed according to the coupling speed, and phase compensation is performed on the broadband radar echo signal after delineation frequency modulation processing by using the compensation factor to obtain a compensated broadband one-dimensional range profile; according to the method, peak search based on fractional Fourier transform and the BFGS optimization algorithm are combined under a relatively large search interval, so that the high compensation precision of the broadband one-dimensional range profile is ensured, the compensation time is greatly reduced, and the compensation efficiency is improved.

The application discloses a kind of based on ultra-wideband radar's on the scraper conveyor up and down slide monitoring device and method, belong to coal mine safety state monitoring technical field.The monitoring device includes the electric rotating platform installed on the head of scraper conveyor, linear array antenna pointing to the end face end coal wall is installed on the electric rotating platform, linear array antenna connects ultra-wideband imaging radar signal module;Industrial computer sends instruction to control the receiving and sending of ultra-wideband imaging radar signal module, the rotating movement of electric rotating platform respectively;Linear array antenna installed on the head of scraper conveyor is driven by electric rotating platform, periodically collects the radar image of end face end, then by registration with the image periodically collected before, to deduce the distance that the head of scraper conveyor up and down slide;It has strong robustness to the harsh environmental conditions of end face end coal dust water vapor, and monitoring data is accurate.

The invention, which relates to the radar simulation and electronic countermeasure field, provides a multi-mode broadband radar simulation electronic target system and method for an unmanned aerial vehicle, and the system comprises an upper computer, a ZYNQ signal processing module, an ADRV9009 radio frequency transceiver module and a transmitting module which are connected in sequence. According to the invention, a ZYNQ signal processing module and an ADRV9009 radio frequency transceiver module are taken as hardware bases, multimode radar simulation is taken as a software architecture, various radar waveforms are generated and adjusted according to key characteristic indexes of a radar, inter-pulse characteristics, intra-pulse characteristics and frequency tuning are supported, and radar signals in a complex electromagnetic environment are accurately simulated.

The invention relates to the technical field of broadband radar signal processing, in particular to a target adaptive fusion detection method based on interference subspace suppression. Aiming at the problem that an existing broadband radar distance extension target adaptive detector is difficult to consider CFAR characteristics, detection performance and calculation complexity under a partial uniform Gaussian background, and the problem that pure clutter training data is difficult to obtain due to actual clutter heterogeneity, how to fully excavate clutter covariance matrix structure information, and how to fully excavate clutter covariance matrix structure information, the invention provides a clutter covariance matrix detection method. The requirement for the training data volume is reduced, the estimation precision of an unknown clutter covariance matrix is improved, the target adaptive fusion detection method based on interference subspace suppression in a closed form is constructed, and the detection precision is improved while the CFAR characteristics are ensured. The multi-aspect requirements of intelligent anti-interference, calculation complexity, detection performance and the like of a distance extension target adaptive detection algorithm are considered, and the adaptive detection performance of a multi-channel broadband radar on a weak and small target in a complex interference environment is improved.

A computer includes a processor and a memory, the memory storing instructions executable by the processor to receive radar data from an ultrawideband radar in a passenger compartment of a vehicle, determine a starting-time for a time-window based on a second derivative of the radar data, identify a motion inside the passenger compartment based on the radar data received during the time-window, and actuate a component of the vehicle based on the identification of the motion.

This invention discloses a signal processing method and apparatus. The method includes: performing analog-to-digital conversion on acquired analog broadband radar signals to obtain digital intermediate frequency (IF) signals; processing the digital IF signals to obtain tagged signals; statistically analyzing the tagged signals to obtain sorting results; matching the sorting results with signal types in a database to obtain matching results; and outputting the matching results as target output signals. The solution provided by this invention enables signal parameter measurement and sorting identification.

The invention discloses a broadband radar distance extension target detection method and device, a terminal and a medium, and relates to the technical field of radar signal processing, and the method comprises the steps: obtaining each linear frequency modulation pulse radio frequency signal transmitted by a radar; in a walking and stopping mode, performing pulse compression on each linear frequency modulation pulse radio frequency signal by adopting pulse dechirp processing, and determining each dechirp processing signal; coherent energy accumulation is carried out according to the dechirp processing signals, and coherent accumulation signals are determined; converting the coherent accumulation signal to a frequency domain, and determining a dechirp pulse amplitude spectrum; and performing target detection according to the dechirp pulse amplitude spectrum, and determining a target detection result. According to the method, pulse dechirp processing and coherent energy accumulation are carried out on each received linear frequency modulation pulse radio frequency signal to obtain a coherent accumulation signal for subsequent target detection, so that the problem that in the prior art, when the signal-to-noise ratio is reduced, better anti-noise performance is difficult to realize with smaller calculation amount can be effectively solved.

The invention relates to the field of signal processing, in particular to a frequency doubler device for suppressing quartic stray. The device comprises: a power divider-90 DEG for receiving an input signal; the input ends of the two frequency doublers are respectively connected with the two output ends of the power divider (-90 degrees); and the input end of the power combiner (180 DEG) is connected with the output ends of the two frequency doublers. According to the frequency multiplier device for suppressing the quartic stray, the high suppression degree of quartic harmonics is achieved, and the frequency multiplier device has a large application prospect in broadband radar signal generation.

The invention discloses an HRRP correlation assisted broadband radar maneuvering target tracking method and device, and relates to the technical field of radar target tracking, and the method comprises the steps: obtaining the high-resolution range profile correlation of adjacent moments; processing the correlation of the high-resolution range profiles at adjacent moments by adopting a preset auxiliary function to obtain a correlation weighting factor; and weighting the likelihood function of each motion model by adopting a correlation weighting factor so as to quantify the influence of the high-resolution range profile correlation at adjacent moments on the probability estimation of each motion model. The maneuvering target tracking precision can be improved.

The present invention discloses a method for detecting and estimating maneuvering targets for broadband radar. The main steps include: S1: dividing the target velocity search parameter space at equal intervals and shifting the velocity component in the pulse pressure signal to the center of the parameter space; S2: dividing the spectrum of the pulse pressure signal into several narrow frequency bands and extracting them in sequence; S3: applying the MGWO algorithm to the extracted sub-aperture pulse pressure signals to obtain a rough estimate of the target maneuvering parameters of the corresponding sub-aperture; S4: applying least squares estimation to the full aperture to obtain a precise estimate of the target parameters; S5: constructing a corresponding high-order phase compensation function based on the precise estimate to complete Doppler frequency compensation, and performing a first-order Keystone transform on the compensated signal to complete range-azimuth decoupling and complete coherent accumulation of target energy. The present invention effectively solves the problems of range and Doppler movement and can achieve long-term coherent accumulation of maneuvering targets. The invention has good real-time performance, strong noise robustness, and certain engineering practical value.

The present invention relates to the field of radar technology, and in particular to a radar-infrared multi-spectrum stealth antenna based on a polarization conversion metasurface. The present invention comprises, from top to bottom, an infrared shielding layer, an upper dielectric substrate, a double-axe-shaped metal patch, a lower dielectric substrate, and a metal floor. A patch antenna with a coaxial feeder is installed within the upper dielectric substrate. The present invention not only achieves effective broadband radar and infrared dual stealth, but also has advantages such as a wide antenna operating bandwidth, a miniaturized structure, low manufacturing cost, and a simple principle. Due to the above advantages, the antenna provides a new approach to the design of multi-spectrum stealth antennas and has potential application value in wireless communications, military, and other fields.

The application relates to the field of ultra-wideband radar imaging and optical computing technology, in particular to a light computing real-time processing method for ultra-wideband radar imaging. The method comprises core steps of signal receiving and electro-optical modulation, optical pulse compression, initial phase compensation based on Kalman filtering, envelope alignment, coherence recovery and two-dimensional grid projection. Based on the ultrafast linear processing advantage and algorithm optimization principle of light computing, the application utilizes optical finite impulse response filters and adjustable delay line technology to disassemble and reconstruct the traditional imaging method, and reduces the end-to-end processing delay to the sub-millisecond level. The application breaks through the real-time processing bottleneck of ultra-wideband radar imaging, provides effective theoretical support and method basis for developing a full real-time ultra-wideband two-dimensional fine imaging system, and is widely applicable to application fields with high real-time requirements such as military reconnaissance and geological exploration.

The invention discloses a three-dimensional point cloud reconstruction method and system based on ultra-wideband signal multi-view fusion. A commercial pulse wireless ultra-wideband radar is adopted to collect signals of an object under multi-view; background reflection reduction and effective distance box positioning are carried out on the reflection signals; the radar signal is subjected to data enhancement through virtual antenna offset and phase rotation; designing a signal multi-view depth reconstruction network model, extracting three-dimensional structure information of an object from a radar signal, and generating a multi-view object depth map; and performing inverse projection on the multi-view depth map, converting the depth map into local point cloud, and generating global three-dimensional reconstruction point cloud of the target object through point cloud fusion. The method provided by the invention still has relatively high robustness in a scene in which the object is shielded, and can be widely applied to the fields of logistics sorting, security check and the like.

The invention discloses an ultra-wideband radar super-resolution imaging method based on spectrum mode decomposition. The method comprises the following steps: acquiring radar observation data; constructing a radar observation data vector and a frequency dependence factor set, and defining a frequency spectrum mode matrix for each frequency dependence factor, so as to obtain a Toeplitz matrix and a single-mode frequency spectrum vector corresponding to an optimal solution through solving a convex optimization problem; estimating scattering parameters of each scattering center in the scene according to the Toeplitz matrix and the single-mode spectrum vector; and carrying out spectrum extrapolation and radar image calculation according to the scattering parameters so as to output a super-resolution radar image of the target according to a calculation result. The radar spectrum is subjected to mode decomposition according to different frequency dependence factors, the estimation accuracy of target parameters is improved, the spectrum extrapolation precision under the large frequency span is improved, and then the radar super-resolution imaging quality is improved.

The application provides a motion detection method, system and device and a computer readable storage medium. The method comprises the steps of continuously acquiring channel impulse response data collected by an ultra-wideband radar; determining a direction and speed feature corresponding to the channel impulse response data; determining a motion feature of a target object according to the direction and speed feature; and matching a target motion corresponding to the motion feature. The direction and speed feature of the target object in a detection area is determined by setting the ultra-wideband radar, so that the motion feature of the target object in the detection area can be recognized, the motion of the target object in the detection area is reflected, and then the corresponding target motion is matched based on the motion, so that the detection can be realized based on the actual motion characteristics of the kicking motion, and the detection accuracy is improved.

The invention provides a wireless charging detection method, a vehicle, an ultra wide band radar and electronic equipment. According to the specific implementation scheme, in response to the situation that a vehicle is located at the position corresponding to a wireless charging panel, the ultra-wideband radar periodically detects a preset area corresponding to the wireless charging panel; in response to the condition that the ultra-wideband radar detects that a target object exists in the preset area, the ultra-wideband radar determines a target echo corresponding to the target object; the ultra wide band radar determines the object type of the target object according to the target echo; and the ultra wide band radar sends a corresponding charging adjustment instruction to the vehicle according to the object type, so that the vehicle stops charging or adjusts the charging power. According to the scheme disclosed by the invention, the robustness of foreign matter and living body detection during wireless charging of the vehicle can be improved, and the problem of influence of external environment change on foreign matter and living body detection of wireless charging is solved.

The present application relates to a kind of radar scattering cross section test methods based on deep learning and ISAR imaging inversion, the method includes using ISAR imaging test mode to obtain target and calibration body broadband radar scattering echo signal, calibration processing and applying filter-inverse projection imaging algorithm to carry out ISAR imaging, application completes the deep learning model of accurate extraction ISAR image scattering signal area, application FFT transform-interpolation integral ISAR imaging inversion algorithm high-precision inversion reconstruction RCS value, change ISAR imaging aperture center azimuth angle traversal acquisition target all azimuth angle RCS data.The radar scattering cross section test method based on deep learning and ISAR imaging inversion provided by the present application solves the accurate extraction ISAR image scattering area and ISAR image high-precision inversion reconstruction RCS and other test practical problems, expands RCS data acquisition method.

This application proposes a method and device for enhancing the detection of static human targets. Based on the target echo model of radar penetration detection, the method uses adaptive frequency hopping technology to compare the energy difference between the actual detection data and the local echo template, and dynamically optimizes the transmission frequency band of radar detection. While reducing the coherent accumulation time, it significantly improves the signal-to-noise ratio of weak human life signals after medium penetration, and effectively enhances the detection performance of ultra-wideband radar for static human targets in medium penetration scenarios.

The invention discloses a through-the-wall radar respiratory signal detection method based on PCA and VMD. The method comprises the following steps: firstly, carrying out characteristic decomposition on an ultra-wideband radar echo data matrix from which a direct-current component is removed; performing modal decomposition on the dynamic signal matrix after clutter removal in a slow time dimension; related modal components in the breathing frequency band range are screened; the selected modal components are reconstructed; fourier transform is carried out in a slow time dimension, and a distance-frequency spectrogram is constructed; and finally, constructing a two-dimensional Gaussian template conforming to human respiration spectrum characteristics and matching the two-dimensional Gaussian template. And calculating distance and frequency estimation values of the human respiration signals. According to the method, the problems that a single clutter suppression method is weak in anti-interference capability and high in false alarm probability are solved, and therefore accurate breathing signal detection in the strong clutter environment is achieved.

The invention provides a non-contact vital sign detection system, which relates to the technical field of non-contact detection and comprises an ultra-wideband radar module, an infrared temperature measurement module, a core processing unit and an output unit. The ultra wide band radar module is used for transmitting nanosecond narrow pulse detection waves to a monitoring space and receiving echo signals; the infrared temperature measurement module is used for collecting an infrared radiation signal sent by a monitoring target; the core processing unit is electrically connected with the ultra-wideband radar module and the infrared temperature measurement module, and is configured to process the echo signal and the infrared radiation signal so as to calculate and output quantitative vital sign data and spatial trajectory information of a monitored target; and the output unit is connected with the core processing unit and is used for outputting quantitative vital sign data and spatial trajectory information. According to the invention, high-precision, quantitative and non-contact synchronous monitoring of multi-target vital signs in a complex daily scene can be realized, so that the limitation that the prior art is affected by clothes shielding, human body movement and distance change is overcome.

The present invention discloses an ultra-wideband radar vital sign signal denoising algorithm based on PE and TVF-EMD, belonging to the technical field of radar life detection. This method first preprocesses clutter and noise signals in the original radar echo signal by means of methods such as channel signal subtraction, subtraction averaging, linear trend suppression, automatic control gain, fast-time filtering, and slow-time filtering; then, by analyzing statistical features such as kurtosis, standard deviation, and variance of data in the slow-time direction, the PE algorithm is used to detect the position of the human target. This optimized algorithm can conveniently and accurately locate the moment when the signal mutates and can amplify the subtle changes in the signal. The TVF-EMD algorithm is used to decompose the extracted vital sign signal, calculate the respective energy ratios of each IMF component after decomposition within the respiration frequency band and the heartbeat frequency band, select appropriate signals for reconstruction, and finally perform spectral analysis on the reconstructed signal using FFT transformation. Using the radar vital sign denoising method proposed by the present invention, the target can be accurately located and vital information can be extracted, and the denoising result is very impressive.

The invention provides a broadband radar signal information agility regulation and control method. The method comprises the steps that S1, an information metasurface is arranged in a radar detection area; s2, using a field programmable gate array to drive an information metasurface, and switching the coding state of the information metasurface to generate a required coding signal, namely radar fast time and radar slow time; s3, the broadband radar system transmits a signal to the detection area; s4, the information metasurface receives a signal transmitted by the broadband radar system, and the signal is subjected to agile modulation after being reflected by the information metasurface which generates the coded signal in the step S2; and S5, the radar receiver receives the echo signal after the information metasurface agile modulation so as to carry out imaging processing. According to the method, electromagnetic waves are not actively emitted under a passive condition, flexible response capability close to active regulation is realized, and multi-dimensional parameters such as amplitude, phase and polarization of a radar emission signal are precisely regulated in real time.

The invention relates to the technical field of adaptive switching, and particularly discloses an adaptive switching method and system based on UWB radar, and the method comprises the following steps: configuring the UWB radar to use a default frequency spectrum and first output power to initialize radar detection; when detecting that one or more objects are within a predetermined distance, configuring the ultra-wideband radar to perform radar detection by using a spread spectrum and a second output power; the first output power is determined by a lowest frequency spectrum mask on a default frequency spectrum; the second output power is determined by a lowest spectrum mask within the additional spectrum. According to the invention, the working frequency spectrum and the output power of the ultra-wideband radar are adjusted in a self-adaptive and coordinated manner, so that better range resolution control is realized, and the detection performance of different user scenes is further improved.

This utility model relates to an ultra-wideband radar sensor chip architecture, including a signal generator, a transmit link, and a receive link. The signal generator generates a first clock signal and a second clock signal. The first clock signal is output to the transmit link, and the second clock signal is output to the receive link. The transmit link includes a first pulse generator, a differentiator, and a transmit multiplexer with multiple transmit branch channels. The receive link includes a second pulse generator, a mixer, a receive multiplexer with multiple receive branch channels, a low-pass filter, an automatic gain control amplifier, and an analog-to-digital converter. This ultra-wideband radar sensor chip architecture adopts a multi-transmit, multi-receive approach, allowing each channel to operate independently in a time-division multiplexing manner, improving radar detection accuracy and resolution, and significantly expanding the application range of radar sensors.