177 results about "Radar waveforms" patented technology

A centimeter-resolution integrated photonic millimeter-wave (mmWave) radar chip operating in the mmWave V band based on a 4-inch wafer-scale thin-film lithium niobate (TFLN) technology is provided. The fabricated TFLN photonic mmWave integrated circuit has a first electro-optic modulator (EOM) capable of generating a broadband linear frequency modulated mmWave radar waveform through optical frequency multiplication of a low-frequency input signal, and a second EOM for frequency de-chirp of the reflected echo wave, thereby greatly relieving bandwidth requirements for the digital-to-analog converter in the transmitter and analog-to-digital converter in the receiver. In the absence of optical and electrical filters, the radar chip features continuous on-demand tunability of the center frequency and bandwidth, currently only limited by the bandwidths of electrical amplifiers. The radar chip provides a promising way to achieve high resolution sensing and detection for vehicle radar, airborne radar, and smart home in the 6G era.

The invention relates to the technical field of radar waveform optimization, in particular to a synthetic broadband waveform optimization method based on reinforcement learning. According to the method, a deep reinforcement learning framework is adopted, and end-to-end optimization is carried out on the center frequency and amplitude parameters of multiple sub-pulses. The method comprises the following steps: constructing a synthetic broadband waveform signal model, and parameterizing sub-waveforms to determine a search space of an optimization problem; converting a waveform optimization problem into a reinforcement learning form, and defining a state space, an action space, a reward function and a state transition mechanism; based on a deterministic soft action value iteration strategy algorithm, point spread function features are extracted in combination with a Transform encoder, and sub-pulse parameters are dynamically adjusted. Through the method, the main lobe resolution can be effectively suppressed and improved, the target detection performance of a radar system is improved, and the method has good global optimization capability and environmental adaptability and is suitable for cognitive radar and adaptive waveform design scenes.

A radar transceiver (101) comprising a control unit (102), a transmitter unit (103) and a receiver unit (104). The transmitter unit (103) is adapted to generate and transmit a plurality of subsequent radar waveforms (108) via a transmitter unit antenna arrangement (105) comprised in the transmitter unit (103). The transmitter unit (103) further comprises a controllable amplifier arrangement (113), where the control unit (102) is adapted to control the amplifier arrangement (113) to apply at least one Tx window function (301, 501) to a plurality of the generated radar waveforms (108, r1-r8). This is accomplished by controlling the amplifier arrangement (113) to reduce output power according to predetermined characteristics of the Tx window function (301, 501).

The invention provides a road disease 3D data set construction and data enhancement method and system, and the method comprises the steps: obtaining the internal waveform data of a target road, and generating radar waveform images of a longitudinal section and a horizontal plane; preprocessing the images of the two cross sections, storing the slice images of different cross sections in different files, and sorting the slice images of each cross section according to a sequence; according to the slice image of each section, determining a disease waveform position, judging a disease category, adding a label, generating a model by using training data, further generating three-dimensional image data of each disease category of a vertical section and a horizontal plane, and adding three-dimensional radar echo data to form a final three-dimensional ground penetrating radar disease data set. According to the method, the problems of difficulty in making three-dimensional disease data, tedious construction process and low data set construction efficiency at present are solved, and the problem of insufficient deep learning model training caused by too few three-dimensional road disease samples is effectively solved.

The invention provides a programmable frequency control array radar waveform generation system and method based on an FPGA, and belongs to the technical field of radar systems and digital signal processing. In order to solve the technical problems of complex hardware system, inflexible parameter adjustment and poor multi-channel synchronism of the traditional frequency control array radar, the invention provides an integrated high-performance solution. The system adopts an FPGA (Field Programmable Gate Array) architecture of an integrated processing system (PS) and programmable logic (PL). The method comprises the following steps: a PS end receives waveform control parameters of an upper computer through a communication interface and transmits the waveform control parameters to a PL end; and a plurality of parallel direct digital frequency synthesizer (DDS) modules in the PL end synchronously generate multi-channel digital baseband signals with programmable frequency offset at high precision according to the parameters under the unified driving of the FPGA global clock network. And the digital signal is subjected to digital-to-analog conversion and radio frequency front-end processing to finally form a transmitting wave beam. According to the invention, flexible programmability of parameters is realized by utilizing a PS-PL collaborative architecture, the synchronization precision of multi-channel signals is remarkably improved through a global clock network and a parallel DDS module generated in the FPGA, and meanwhile, the system has the advantages of high integration level and low complexity.

The invention provides a waveform identification method and device, terminal equipment and a storage medium. The method comprises the following steps: controlling a radar probe core to respectively send a plurality of driving waveforms with preset frequencies in a single detection task; acquiring a preset number of echo data based on each driving waveform; performing preliminary screening on the obtained echo data according to the duration time of each piece of echo data to obtain a first echo data sequence corresponding to each driving waveform; and acquiring the starting time of each piece of echo data in the first echo data sequence, and generating an obstacle waveform recognition result according to a starting time change rule of the echo data in each echo data sequence. According to the invention, the reliability and real-time performance of radar waveform identification can be improved.

The invention discloses a radar waveform phase design method based on a KAN network, and relates to the technical field of radars, and the method comprises the steps: constructing an expected directional diagram covariance matrix based on a transmitting directional diagram according to the information of a transmitting antenna; constructing a combinatorial optimization objective function according to the expected directional diagram covariance matrix and the parameter waveform; inputting the waveform of the random initial phase sequence into the ResKAN network, and performing iterative optimization on the ResKAN network by taking the combinatorial optimization objective function as a loss function until iteration is finished to obtain an output waveform of the ResKAN network; the network input is respectively connected with the KAN residual module and the Vit coding module; the KAN residual module and the Vit coding module are respectively connected with the attention guidance fusion module; and the attention guidance fusion module, the nested KAN structure, the decoder and the network output are connected in sequence. When the radar waveform is designed, the calculation efficiency, the optimization precision and the implementation complexity are considered at the same time.

The present disclosure relates to methods and systems based on a new type of radar waveform, taking the form of a continuous aperiodic signal, effectively indistinguishable from white noise, though actually it is a signal allowing both accurate and ambiguity free range and radial velocity, i.e. Doppler, measurements.

The invention relates to a radar waveform design method for suppressing an autocorrelation sidelobe based on multi-carrier phase coding. The method comprises the following steps: acquiring a chaos sequence with pseudo-randomness; according to the chaos sequence, an OFDM method and a phase encoding method are adopted for processing, and an MCPC radar signal is obtained; according to the MCPC radar signal, the power difference between a maximized target and a sidelobe peak value, the minimum peak value sidelobe level and the minimum integral sidelobe level are accurately measured for processing, and a pulse compression sidelobe of the radar signal is obtained; pulse compression sidelobes of the radar signals are processed in a subcarrier amplitude windowing mode, and radar signals of multi-carrier phase coding suppression self-correlation and cross-correlation sidelobes are obtained; the self-correlation sidelobe is taken as an optimization target, and a genetic algorithm is adopted to optimize a carrier weighted window function to reduce the self-correlation sidelobe. The radar signal designed by the method has good anti-interference performance and sidelobe reduction performance.

Systems and methods for predictive coordination of ego radar and interferer radar parameters are disclosed. In some aspects, a processor associated with a first radar system transmitting a first radar waveform to detect a target may identify a presence of a second radar system transmitting a second radar waveform in a vicinity of the first radar system. The processor may further predict an upcoming interference by the second radar waveform of the detection of the target by the first radar system. In addition, the processor may, in response to the predicting the upcoming interference, determine an adjustment to a first parameter of the first radar waveform and / or to a second parameter of the second radar waveform.

The invention provides a joint optimization method and system for MIMO radar waveform design and antenna array arrangement, and belongs to the technical field of radar signal processing. A covariance matrix of a transmitting signal set is converted into a transmitting weight matrix of a time domain, and matching optimization of a radar waveform and an expected beam pattern is realized based on the transmitting weight matrix; according to the method, the directional diagram performance of the optimized radar waveform of the time domain in actual emission can be ensured, meanwhile, the influence of an antenna array arrangement vector on an emission beam pattern is considered, joint optimization is carried out on the radar waveform corresponding to an emission weight matrix and the antenna array arrangement vector, collaborative optimization between waveform design and array design is achieved, and the method has the advantages of being high in practicability and high in practicability. The overall performance potential of the system can be fully excavated, and the actual demand of a target detection task in a complex environment can be well met.

The invention provides a radar waveform optimization method, system and device, a medium and a program product, and the method comprises the steps: transmitting a basic radar signal employing a basic waveform, and receiving an original echo signal formed by the reflection of a target; extracting a radar cross-sectional area of a target from the original echo signal to obtain a target RCS; traversing an RCS allowable range corresponding to each target type in the feature database, and determining a matching result; determining waveform control parameters of the radar waveform; an optimized radar signal employing the optimized waveform is generated and transmitted. According to the scheme, traversal matching is carried out on the target radar cross-sectional area measured in real time and the RCS allowable range in the feature database, adaptive optimization of the radar transmitted waveform on the current target RCS is realized, in addition, the candidate PRF is systematically traversed in the PRF feasible range corresponding to the target type, and the target type is more accurate. The adaptive matching of the PRF parameter with the current target RCS and the propagation condition is realized.

The invention discloses a multi-frequency-band signal fusion microwave photon radar system and an implementation method thereof, and relates to the technical field of optical signal processing, and the system comprises a multi-frequency-band signal transmitting module which is used for generating a multi-frequency-band bandwidth radar signal; the m microwave photon dechirp receiving modules are used for receiving echo signals of three or more multi-band bandwidth radar signals in an optical domain; the multi-frequency-band signal fusion processing module is used for carrying out interpolation and filling of spectrum gaps on missing frequency bands among multiple frequency bands through a coherent fusion technology so as to realize fusion splicing of multi-frequency-band signals; m is the number of multi-band channels; according to the method, the broadband characteristic of the photon technology can be fully utilized, and the distance resolution of target detection is effectively improved under the condition that the bandwidth requirement of the radar waveform electrical generator is not increased through fusion processing of multi-band bandwidth radar signals.

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 provides a geological anomalous body recognition method, system and device and a storage medium, and belongs to the field of radar waveform recognition, and the method comprises the steps: simulating and generating ideal scan images of a plurality of different geological anomalous regions, and building a geological anomalous scan image database; converting the actually acquired geological radar oscillogram of the geological abnormal area to obtain an actual scan image; inputting the actual scan image into a data engine, performing comparative analysis on the actual scan image and different ideal scan images through the data engine, and finding out an ideal scan image which is most similar to the input geological radar oscillogram in the aspects of features and forms from a geological anomaly scan image database; geological abnormal area information corresponding to the geological radar oscillogram is obtained through the found ideal scan image, and the type of the geological abnormal body is determined according to the geological abnormal area information. The geological anomalous body recognition accuracy is improved, and the type of the geological anomalous body is judged.

The invention relates to the technical field of radars, in particular to a low-interception-probability radar waveform design method and device, and the method comprises the steps: obtaining a preset MDP tuple; constructing a Markov decision model framework based on a preset MDP tuple, wherein the Markov decision model framework comprises a design framework corresponding to the power adopted for constructing a radar waveform and the complexity of a radar waveform intra-pulse modulation pattern; performing reinforcement learning on the Markov decision model framework in a strategy optimization direction taking maximization of long-term accumulated rewards as a target to obtain a reinforcement learning optimization model of radar waveform design; and solving the reinforcement learning optimization model of the radar waveform design by using a model-free Q-learning algorithm to obtain the design parameters of the radar wave, thereby realizing the intelligent design of the low-interception probability radar waveform in the complex electronic countermeasure environment, and improving the concealment and detection performance balance capability of the radar in the unknown countermeasure environment.

The application discloses a tunnel surrounding rock intelligent grading prediction method and system based on multi-modal space-time fusion, relates to the technical field of tunnel construction, and provides the following scheme, which comprises obtaining time-stamped surrounding rock multi-modal data, the multi-modal data comprising geological radar waveform data, drilling core images and three-dimensional laser point cloud data; a space-time fusion network architecture is adopted to generate surrounding rock feature data and perform tunnel surrounding rock grading prediction. According to the scheme, three types of multi-modal data, namely, geological radar waveform data, drilling core images and three-dimensional laser point cloud data, are fused to provide a comprehensive feature basis for surrounding rock grading prediction, a real-time feedback mechanism is constructed by introducing construction machinery vibration spectrum data, abnormal disturbance is identified by comparing a dynamic threshold library with historical data, vibration features and surrounding rock features are associated based on an LSTM network, accurate rock mass parameter correction amounts are generated, and space-time fusion network parameters are reversely optimized, so that the deviation between static prediction and actual geological conditions is effectively reduced.

The invention discloses a normalized deep reinforcement learning radar waveform design method, which comprises the following steps: modeling a radar confrontation environment based on a Markov decision process model, expressing a radar anti-interference problem as a Markov decision process with a limited field-of-view state space, determining a state, an action and a conversion dynamic state, and designing a normalized deep reinforcement learning radar waveform. Setting a reward function in the existing deep reinforcement learning algorithm; the beneficial effects of the invention are that the system stability and the learning efficiency are improved through the enhancement of the reward normalized discount; a radar environment is modeled as a Markov decision process, so that an agent can optimize a waveform strategy through interaction with a state space, an action space and a reward function; compared with an LFM method, a non-normalized D3QN method and the like, the method has the advantages that the signal to interference and noise ratio of a radar receiver end is increased, the target detection probability is increased, interference and clutter interference are effectively reduced, and an effective way is provided for automation and intelligentization of radar waveform generation in an anti-environment.

The invention relates to the technical field of water gushing monitoring, in particular to a tunnel water gushing dynamic control and safety monitoring method and system based on geological radar, and the method comprises the following steps: in the tunneling mechanical propulsion process, when the oil pressure drop rate exceeds a rate threshold value, determining a tunneling negative pressure period; acquiring a radar waveform dynamic sequence in the negative pressure time period; key feature parameters are extracted from the radar waveform dynamic sequence; marking a region which simultaneously meets the amplitude attenuation mutation rate and the phase deviation cumulant as a water gushing precursor target region; and by taking the water gushing precursor target region as a center, generating a conical diffusion preventive grouting field. According to the method, the dynamic sensing capability of the sudden water bursting risk is enhanced, the space-time continuity expression capability of the abnormal region is improved, and the precursor intensity can be quantitatively distinguished through the thermal value.

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 MIMO radar, and discloses a TDM and DDM combined radar waveform and signal processing method and device and a medium, and the device comprises a modulation signal transmitting module, an echo signal receiving module and an echo signal processing module. The problem of fuzzy velocity reduction caused by TDM is solved through slow time random sampling, the waveform can be well applied to a large-scale array, velocity ambiguity is avoided, the utilization rate of the Doppler frequency band is improved, the accuracy of target detection is improved through the wide Doppler sub-band, and meanwhile, for the waveform, the accuracy of target detection is improved. According to the method, a corresponding signal processing flow is provided, a method for carrying out cyclic correlation by utilizing the template to carry out channel separation is provided, the transmitting channels of the corresponding targets can be rapidly and accurately separated, the angle measurement requirement can be met, and the method can be compatible with a traditional FMCW radar and has high application flexibility.

The present application relates to a MIMO radar multi-target detection method and system based on strong target restriction, which designs a beam weight matrix solving method with strong target restriction on the basis of a MIMO radar multi-target detection method based on reinforcement learning, takes out possible strong targets from the detection results of the MIMO radar, calculates the power gain restriction values corresponding to each strong target, designs a beam optimization scheme with strong target restriction and solves the beam weight matrix by using a convex optimization toolbox. During detection, the radar waveform corresponding to the transmission beam weight matrix is used, the Wald type statistics of the radar echo is calculated, the state calculation and action selection are performed, the angle unit to which the beam pattern of the MIMO radar needs to be focused is selected, and finally the beam weight matrix of the next detection time is quickly solved according to the beam weight matrix solving method with strong target restriction, so as to improve the detection performance of the MIMO radar on weak targets.

The present invention discloses a UWB positioning and radar multiplexing system and method with a radar waveform repair function, the system comprising: a main control circuit board, and a UWB transmitter, a UWB receiver and a UWB RF front-end antenna integrated on the main control circuit board; the UWB transmitter and the UWB receiver are respectively connected to the UWB RF front-end antenna; the UWB RF front-end antenna amplifies, filters, performs orthogonal mixing and transmits and receives wireless signals for RF; the system integrates the UWB positioning function with the radar function, thereby realizing accurate positioning of targets in the vehicle and motion information detection of targets without RF connection capability. The main control scheduling module coordinates the communication and data transmission between the modules, effectively solving the conflict problem between the positioning function and the radar function. The radar waveform repair module dynamically searches for various types of mutations and repairs various waveforms corresponding thereto, handles abnormal conditions in the radar signal, and ensures the stability and reliability of the radar function.

The invention discloses a radar waveform analysis method based on a feature extraction algorithm, and relates to the technical field of radar waveform analysis, and the radar waveform analysis method comprises the step of collecting real-time radar waveform data by using multiple sets of radar equipment. The radar waveform data processing method is suitable for being widely applied to multiple fields, the complexity of data processing is reduced and the processing speed is improved through screening multiple groups of algorithms, algorithm optimization and feature selection, the radar database is subjected to three times of encryption processing through the database encryption unit, and the data processing efficiency is improved. The overall safety is improved, radar data information updated in real time is recorded through the database center, radar waveform analysis data and corresponding analysis results are managed, visualized and stored, radar waveform analysis management can be achieved through internet cloud management and control, and the intelligent level of radar waveform analysis management is improved.

The application discloses an airborne radar downburst optimized detection method and belongs to the technical field of radar signal processing. An airborne Doppler radar is used to emit a radar waveform to a possible wind shear dangerous area in front of a route, and wind speed estimation in a transmission direction is obtained by analyzing radar echo IQ data. The application sets a pitch angle of radar scanning according to a take-off or landing stage of an airplane. After receiving the IQ signal, frequency domain correction is performed, data is preprocessed according to spectrum width information, and a wild value area is eliminated. After the preprocessing is completed, a frequency domain clutter suppression algorithm is used to suppress a ground clutter area near zero frequency, and then wind shear wind speed estimation is performed. The application proposes a novel vertical wind speed estimation model, establishes a connection between a downburst core area range and a vertical wind speed gradient, forms a detection and sensing capability for a three-dimensional area of the downburst, and proposes an airplane scanning strategy for optimizing the model.

Systems, methods, and computer-readable media for performing radar operations based on characteristics of a target. First operational limits defining a limit of a detection operation, imaging operation, or some combination thereof can be identified. The first operational limits can be associated with first operational values of operational parameters. Radar waveform parameters to optimize can be identified. Further, first optimal values for the radar waveform parameters can be identified based on the first operational values associated with the first operational limits. Additionally, a first optimized radar signal can be generated using the first optimal values of the radar waveform parameters. The first optimized radar signal can be optimized for the first operational limits. As follows, the first optimized radar signal can be transmitted towards a target area.

The invention relates to a joint radar communication system within a wireless communication environment, comprising: at least one processor; at least one transceiver configured to transmit a radar signal through which the azimuth data is transmitted with the radar waveform; at least one receiver configured to receive an echo of the radar signal; and at least one memory communicatively coupled to the at least one processor. The transceiver is configured to transmit a joint radar communication signal (JRC), and the receiver is configured to receive an echo of the radar signal using a joint radar communication channel and transmit a communication (JRC) signal.

The invention discloses a comprehensive cross-ambiguity function loop optimization method based on determined information. The method comprises the following steps: step 1, designing a discrete template of the determined information of a cross-ambiguity function; 2, determining a zero-sum game model of a radar party and an interference party; 3, improving a zero-sum game model based on the template model, and constructing a model independent of the template; and 4, degenerating the code elements into pulses, constructing a special model which is feasible in calculation, and designing a radar waveform according to the special model. According to the method, the optimal transmitted waveform and the matched waveform can be efficiently obtained through a reverse iteration method, so that the anti-interference capability of a radar system is improved, and the problem of calculation efficiency of attack and defense strategy selection in a large-scale network is effectively solved.

The invention discloses an ocean laser radar waveform photonizing and post-pulse removing method. According to the method, single photon response calibration is completed by utilizing probability histogram distribution of single photon output integral values of a photomultiplier (PMT), and photonization processing of original echo waveforms acquired by the ocean laser radar is realized; and the post-pulse probability is calibrated to realize quantitative removal of the post-pulse. The experimental device comprises a signal generator, a laser, a digital adjustable attenuator, a photomultiplier (PMT), a data acquisition card and an upper computer processing module, and the stability of system triggering and data acquisition is ensured. According to the technical scheme, through single-photon calibration based on the integral value, continuous analog sampling and uniform representation of the photon number of discrete single-photon output waveform signals are completed, interference of post-pulse on weak signals of the ocean laser radar is eliminated, the measurement precision and reliability are improved, and the device has the advantages of being simple in structure, convenient to operate and accurate in calibration and has a wide application prospect. The method is suitable for the high-precision ocean laser radar detection field.

The invention relates to the technical field of radar signal level anti-interference, and discloses a coherent accumulation method for a radar waveform, and the method comprises the steps: obtaining a joint frequency repetition frequency agile waveform JFPAW echo signal in a distance frequency domain and an azimuth time domain; according to the calculated optimal coarse velocity, performing range migration compensation on the JFPAW echo signal; performing frequency Doppler compensation on the JFPAW echo signal according to the distance obtained after range migration compensation; and according to the non-uniform Fourier transform, calculating to obtain a coherent accumulation result of the JFPAW echo signal. According to the method, coherent accumulation of echo signals under the condition of phase random fluctuation caused by frequency and frequency domain agility is realized, and the low interception and anti-recognition capabilities of modern radars can be effectively improved. The invention further discloses a coherent accumulation device for the radar waveform and electronic equipment.