200 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 provides a nonlinear amplitude-phase error correction method and device suitable for broadband FMCW radar imaging. The method comprises the following steps: establishing a frequency modulated continuous wave radar difference frequency signal model containing a nonlinear error; correcting the amplitude error by adopting an envelope normalization correction method; estimating the high-order polynomial phase error by adopting a method of combining a phase unwrapping recursive least square method and an OShea optimization strategy to obtain a high-order polynomial phase parameter; estimating the periodic multi-sine phase error by adopting a method of combining a MUSIC algorithm and a trust region algorithm to obtain a periodic multi-sine phase parameter; and based on estimation results of the high-order polynomial phase parameters and the periodic multi-sine phase parameters, phase error correction is carried out by adopting a time domain resampling method. The device comprises a nonvolatile memory in which the executable code is stored and a processor, and is used for implementing the method. According to the technical scheme of the invention, the problem that the existing method is generally insufficient in noise immunity can be solved.

The invention discloses a ground penetrating radar small target B-scan identification method and system for underground facilities of a transformer substation, and relates to the field of ground penetrating radar data processing. The problems of false detection and high omission ratio caused by a large number of small target samples in underground facility ground penetrating radar detection in a power grid and the problems that a traditional image processing method depends on manual identification and labeling, and the data processing accuracy and processing speed are difficult to improve are solved. The method comprises the following steps: scanning an underground facility along a motion direction according to a UWB ultra-wideband radar system to obtain a B-scan graph; identifying the B-scan image by adopting a LableImage, and obtaining a characteristic waveform in the B-scan image; a GPR-Bfnet recognition model is constructed, and the GPR-Bfnet recognition model is trained according to the training set; and the trained GPR-Bfnet identification model is used to carry out identification and classification on the characteristic waveform in the B-scan image. The method is applied to the fields of engineering, geological exploration and military.

The present invention relates to an ultra-wideband (UWB) radar sensor chip system architecture. The chip system architecture at least comprises N receiving channels and N transmitting channels, wherein N is a positive integer greater than 1, the N receiving channels form receiving links by means of connecting to a receiver multiplexer, the N transmitting channels form transmitting links by means of connecting to a transmitter multiplexer, and the receiving links and the transmitting links jointly form N groups of transceiving systems. The chip system architecture further comprises a serial peripheral interface, and is adjacent to an external main control chip by means of the serial peripheral interface, so as to drive, by means of a control command, the N groups of transceiving systems to operate on the basis of time division or to operate independently. The present invention introduces the concepts of time division multiplexing and multi-channel synthesis into a radar system, and provides a universal UWB radar sensor chip system architecture with a high integration level, a high performance and a low cost, thereby effectively solving the problems of a radar chip in terms of the sensitivity and transmitting power, improving the detection precision and increasing the detection distance.

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 present invention discloses a broadband radar cross section reduction metasurface with reflection and scattering characteristics, which includes a number of square structural units arranged in a set manner. Each square structural unit includes a bottom metal plate unit, an upper special-shaped metal strip unit, and a dielectric substrate unit disposed between the bottom metal plate unit and the upper special-shaped metal strip unit. The present invention can integrate two special functions within a relatively wide frequency band, namely the reflection and scattering of incident electromagnetic waves, so as to achieve the functions of specular reflection and RCS reduction.

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 provides a broadband radar echo denoising method and device based on a U-shaped self-attention model, and relates to the technical field of radar signal processing. Comprising the following steps: acquiring high-resolution range profile echo data; gaussian white noise is added to the high-resolution range profile echo data to obtain a training data set; a range profile denoising network based on a U-shaped self-attention model is constructed, the range profile denoising network comprises a plurality of encoders, and each encoder comprises a first target multi-head self-attention layer added with a range profile supporting area mask and a wavelet denoising down-sampling layer; training the range profile denoising network by using the training data set to obtain a trained range profile denoising network; and inputting the noisy high-resolution range profile echo data into the trained range profile denoising network to denoise the noisy high-resolution range profile echo data, and outputting the denoised high-resolution range profile echo data. Therefore, the detail information of the range profile is reserved, and the recognition rate of the subsequent recognition network is improved.

A method for contactless vital sign monitoring includes transmitting, via a transceiver, radar signals for object detection. The method also includes generating a clutter removed channel impulse response from received reflections of the radar signals a portion of which are reflected off of a living object. The method further includes identifying a set of range bins corresponding to a position of the living object. Additionally, the method includes identifying a first set of signal components representing a respiration rate of the living object and a second set of signal components representing a heart rate of the living object.

The invention relates to the technical field of remote detection, and discloses an unmanned aerial vehicle human body vital sign detection method based on an ultra wide band radar, and the method comprises the steps: planning a flight path of an unmanned aerial vehicle; acquiring a reflection signal received by the ultra-wideband radar, position information of the unmanned aerial vehicle and image data of the thermal imager in real time; a reflection signal received by the ultra wide band radar is acquired and preprocessed in real time; processing the reflected signal based on a signal processing algorithm and extracting human body vital sign characteristic parameters; the human body vital sign characteristic parameters comprise respiratory frequency and heartbeat frequency; according to the human body vital sign characteristic parameters, the normal range of the preset human body vital sign characteristic parameters and the image data of the thermal imager, the existence condition of the human body life is judged. According to the invention, vital signs can be remotely detected, and human body vital sign signals under ruins can be rapidly and accurately detected in a large range by using the high maneuverability of the unmanned aerial vehicle.

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.

The present application provides a nonlinear amplitude and phase error correction method and device suitable for broadband FMCW radar imaging. The method includes: establishing a frequency modulated continuous wave radar difference frequency signal model containing nonlinear errors; correcting the amplitude error using an envelope normalization correction method; estimating the high-order polynomial phase error using a method combining a phase unwrapping recursive least squares method with an O'Shea optimization strategy to obtain high-order polynomial phase parameters; estimating the periodic multi-sine phase error using a method combining a MUSIC algorithm with a trust region algorithm to obtain periodic multi-sine phase parameters; based on the estimation results of the high-order polynomial phase parameters and the periodic multi-sine phase parameters, using a time domain resampling method to perform phase error correction. The device includes a non-volatile memory storing executable code and a processor for implementing the above method. The technical solution of the present application can solve the problem of insufficient noise resistance that is common in existing methods.

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.

A wearable display of a client system is configured to receive and display a game stream representing a gaming application running on a cloud-based gaming server. To help control the gaming application, the client system includes or is otherwise connected to a smart ecosystem including one or more ecosystem devices each including radar circuitry. In response to the wearable display displaying the game stream, an ecosystem device is configured to transmit one or more radar signals towards the wearable display to generate radar data. Based on the radar data, the client system then determines motion data for the wearable display, user, or both and generates one or more game inputs for the gaming application based on the determined motion data.

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.