62 results about "Radar frequency" patented technology

The present invention discloses a method for pre-processing radar data for further processing by a machine learning model, the method comprising: acquiring radar data from a transmitted signal and a received signal of a radar, wherein the radar data comprises frames and / or chirps; allocating the radar data to a plurality of frequency range bins according to the radar frequency of radar data of the received signal; calculating a difference between the radar data at two or more different time steps for each of the plurality of frequency range bins, wherein the time steps correspond to the frames or chirps of the radar data; and providing the calculated differences to the machine learning model with temporal dynamics for further processing.

The invention discloses an active layer depth identification method based on an envelope fusion algorithm, and belongs to the technical field of seasonal frozen depth survey. The method comprises the following steps: optimizing survey line arrangement and radar frequency through field survey and ground temperature data, and collecting data by using a ground penetrating radar; performing background removal, gain compensation, band-pass filtering and time-depth conversion preprocessing on the data; then, a gravity center method and an edge detection method are adopted to extract a bottom interface track, and noise and abnormal values are effectively suppressed according to self-adaptive weighted fusion of signal definition and continuity; and finally, carrying out cross validation and error correction by taking the earth temperature 0 DEG C isotherm depth as a reference, outputting a continuous and smooth interface fusion curve with centimeter-level precision, and calculating the depth of an active layer. According to the method, the high-efficiency and lossless advantages of the GPR are kept, meanwhile, the limitation of traditional interpretation precision is broken through, and a practical technical scheme which can be directly used for designing parameter values is provided for engineering investigation of the permafrost region.

The invention relates to the technical field of underground space detection, and discloses a high-resolution three-dimensional imaging GNSS (Global Navigation Satellite System) positioning type shallow cavity detection system which comprises a mobile carrier platform, a step frequency continuous wave radar subsystem, a high-precision positioning and attitude sensing subsystem, a central control and edge calculation subsystem and a wireless communication module. According to the system, radar acquisition and hardware-level synchronization of positioning data are realized by using GNSS pulse per second; the central control subsystem dynamically modulates the radar frequency step number and the residence time according to the instantaneous velocity of the carrier to ensure that the space sampling interval is constant; and signal enhancement is carried out in combination with geographic semantic prior, three-dimensional deduction reconstruction is carried out on sparse survey line data by using a conditional generative adversarial network, and active supplementary collection of a reverse-driven low-confidence region is evaluated through confidence. According to the method, high-precision positioning, self-adaptive efficient acquisition and full-process closed-loop detection of the underground cavity are realized, and the reliability of detection data and the engineering application value are improved.

The invention discloses a radar intermittent sampling interference resisting method based on VMD and sparse Bayesian blind separation, and the method comprises the steps: determining an intermittent sampling forwarding interference signal based on a transmitting signal model and an echo signal model of a radar, so as to determine a mixed signal received by a receiver under the condition of a single channel; decomposing the mixed signal into P modal components by using a VMD algorithm; selecting a part of modal components from the P modal components and raising the dimension of the mixed signal to obtain a new mixed signal; estimating the number of source signals by using an entropy minimum source number estimation algorithm according to the new mixed signal; reconstructing a multi-channel signal by using the number of estimated source signals and the mixed signal; and recovering a source signal by using a multi-channel signal and a positive definite independent component analysis algorithm based on sparse Bayesian learning. The method can be used for resisting intermittent sampling interference of the linear frequency modulation pulse pressure radar in a complex electromagnetic environment, has good interference suppression capability, and can effectively suppress intermittent sampling interference and recover interfered radar frequency modulation signals.

The invention belongs to the technical field of radio physics and image recognition, and provides a compact high-frequency ground wave radar target detection method based on multi-frame information. The method comprises the following steps: generating radar distance-Doppler spectrum images based on radar frequency domain data, performing target detection on each frame of distance-Doppler spectrum image by a first network, and taking a region suspected to contain a target as an interested image region of each frame of image; defining an image block of each frame of image by taking the interested image area as a center, and forming an image block sequence by the image blocks of multiple frames of images; inputting the image block sequences into a second network, flattening image blocks of each frame of image in the image block sequences into vectors, adding position codes to form image block sequence tokens, and inputting the token of each image block sequence and a learnable class token into the second network; and performing target detection by adopting the trained first network model and the second network model.

The invention belongs to the field of radar passive interference, and particularly relates to self-adaptive passive interference dispensing equipment and a dispensing method applied to an unmanned aerial vehicle. According to the method, the chaff aiming at the radar emission frequency is adaptively generated through radar frequency reconnaissance in advance, effective passive interference can be generated on radar detection, the problem that the interference efficiency is low due to the fact that the size of the prefabricated chaff in a traditional chaff bomb is not consistent can be solved, and the battlefield viability of the unmanned aerial vehicle is improved.

A wireless device is configured to transmit radar signals at extremely low spectral density so that the receiver can be operated at the same time without saturating and thereby enabling full-duplex operation. To achieve sufficient range, beamforming is used together with a very long correlation time for detection of the radar signal, in which case the receiver can resolve backscattered or reflected radar signals far below the noise floor, while the bandwidth of the transmitted radar signal can be very high. The wide bandwidth enables the wireless device to maintain a low power spectral density while increasing output power, and also increase the depth resolution. The extremely low power spectral density even in the transmission beam direction makes the probability that communication will be disturbed very low. The high bandwidth calls for digital filters for both transmitted and received signals to equalize the radar frequency response characteristics of the radio unit.

The present disclosure relates to a vehicle radar system (210; the invention relates to a vehicle radar system (210, 210A, 210B, 210C), comprising a control unit (208) and at least one radar transceiver device (201, 202, 203, 204, 205) arranged to generate and transmit an FMCW signal (220) in a radar band. Each FMCW signal (220) comprises a corresponding plurality of self-frequency ramps (r; ra, rb, rc, rd, re) corresponding to a plurality of self-frequency ramps (rc, rd; rd, rd; rd; rd; rd; rd) corresponding to the plurality of self-frequency ramps (ra, rb, rc, rd; tcsa, tcsb, tcsc, tcsd, tcse), where the self-frequency ramp (r; each of the self-frequency ramps (r, ra, rb, rc, rd, re) has a specific self-duration (tr), a self-delay time (tD) between adjacent self-frequency ramps (r), and a self-frequency gradient (df / dt). The control unit (208) is adapted to receive a control signal from at least one external unit (400, 420, 430, 450; 208A, 208B, 208C; 460), and at least causing the self-cycle start time (tcs; tcsa, tcsb, tcsc, tcsd, tcse), the self-duration (tr) and the self-delay time (tD) are based on the synchronization information.

The invention particularly relates to a complex modulation signal generation method based on multiphase fitting modeling, belongs to the field of radars, and is applied to a radar frequency synthesizer. The method comprises the following steps: by taking an FPGA (Field Programmable Gate Array) and a DAC (Digital-to-Analog Converter) as core hardware, generating an n-phase phase increment sequence through multi-phase fitting modeling according to the phase change characteristics of CW, LFM and NLFM signals and the phase-to-amplitude conversion IP instantiation number of the FPGA; amplitude codes are output through multiple paths of IPs, and after cross sorting is carried out according to the phase relation, the amplitude codes are transmitted to a DAC through an LVDS or JESD204B / C high-speed interface to generate a target signal. According to the method, signal phase characteristics are fitted in a targeted manner, phase increment can be calculated in real time through LFM signal generation, storage is not occupied additionally, the three types of signals are consistent in processing flow, high in universality and easy to transplant, and high-stability and high-precision complex modulation signals can be generated efficiently.

The embodiment of the invention provides network equipment, a user terminal, a chip, a wireless communication system and a method, the network equipment comprises a first processor, at least one first antenna and at least one second antenna, the first antenna and the second antenna are respectively coupled with the first processor, the first antenna works in a first sub-frequency band, and the second antenna works in a second sub-frequency band. The second antenna works in a second sub-frequency band, and the first sub-frequency band covers the radar frequency band; when the radar signal exists in the first sub-band, the communication signal is transmitted through the second antenna; and when the radar signal does not exist in the first sub-band, the communication signal is transmitted through the first antenna.

A multi-frequency photonic radar is configured to provide three or more radar frequencies simultaneously or separately. The radar devices and techniques described herein enable the processing using any desired frequency (limited only by the bandwidth of photodetectors in the radar) with wide tunability from, e.g., 1 GHz to the limit of the bandwidth of the photodetectors (e.g., 110 GHz, 270 GHz, etc.), using either pulsed or continuous frequency modulated waveforms. The radar device may be configured as a photonic integrated circuit (PIC).

The invention discloses a system and method for unmanned aerial vehicle identification based on radar data, and relates to the technical field of unmanned aerial vehicle identification, and the system comprises a radar detection module, a radar frequency modulation module, a detection data processing module, a target positioning module, and a detection data identification module. According to the system and method for identifying the unmanned aerial vehicle based on the radar data, whether the target is the unmanned aerial vehicle or not is identified through the returned electromagnetic wave signal, and the number of the unmanned aerial vehicles is identified; when the number of the unmanned aerial vehicle is one, the second reflection wave signal and the reflection wave signal received later in the reflection frequency are filtered within the duration corresponding to one set period, and when the number of the unmanned aerial vehicle is larger than one, the reflection wave signal is filtered; the reflection wave signals received by the radar detection module are directly reflected after meeting the unmanned aerial vehicle in the reflection wave signals of each reflection frequency, the number of the reflection wave signals needing to be processed is greatly reduced, and the positioning calculation efficiency is improved while the positioning precision of the unmanned aerial vehicle is guaranteed.

The application discloses a networking radar jamming and mutual jamming elimination method based on decentralized Q learning, first, according to the phased array radar signal processing flow, a target echo signal, a jamming signal and a mutual jamming signal model are established, second, the conditions of radar jamming and mutual jamming are analyzed, a multi-radar frequency domain resource scheduling optimization model based on the SIJNR criterion is established, then each radar is regarded as an intelligent agent, the multi-radar cooperative anti-jamming and anti-mutual jamming process is constructed into a generalized Markov decision process, and the frequency domain resource scheduling optimization model is converted into a value function optimization model, finally, the DQJIE algorithm is used to solve the problem, and the frequency agility strategy of each radar is obtained. The method constructs the multi-radar cooperative anti-jamming and anti-mutual jamming process into a generalized Markov decision process, effectively suppresses the mutual jamming in the system while resisting the frequency sweeping jamming, and effectively improves the networking radar detection performance.

The application discloses a LFMCW radar Keystone transformation distance walking correction and semi-blind speed effect elimination method and device. In view of the energy defocusing and Doppler tearing problems of the semi-blind speed area caused by Sinc interpolation truncation when the conventional Keystone transformation processes high-speed maneuvering targets, a double-path parallel architecture is adopted. A conventional branch extracts a safe area spectrum; a blind speed branch constructs a time domain compensation factor containing a radar frequency modulation slope and a fast time variable, substitutes high calculation power interpolation by pure physical phase rotation, and realizes extreme focusing of target energy; then, based on a target absolute Doppler index, a point-to-point coordinate mapping mechanism is adopted to seamlessly recombine the focused main lobe into a basic spectrum. The application recovers the coherent accumulation loss caused by interpolation truncation, eliminates the ghost false peaks and speed measurement blind bias at the Doppler cross-border, greatly reduces the consumption of underlying hardware resources, and meets the real-time detection demand.

This invention relates to a method for generating frequency-agile radar signals, belonging to the field of radar frequency-hopping signal technology. The invention includes S1, quantizing an initial chaotic sequence into an integer chaotic sequence; and S2, determining the optimal control parameter u of the integer chaotic sequence using a simulated annealing algorithm. b S3, Generate the target chaotic sequence; S4, Construct the first frequency-agile radar sequence based on the target chaotic sequence; S5, Establish the data training set Ψ; S6, Train the CNN network model using the data training set Ψ, and use the CNN network to identify the given chaotic sequence and find the optimal threshold λ. k S6, perform binary quantization on the given chaotic sequence to determine the second frequency-agile radar sequence; S7, construct the target frequency-agile radar sequence. This invention utilizes two optimization methods—simulated annealing and convolutional neural networks—to enhance the randomness of the target frequency-agile radar sequence, enabling it to solve the problems of traditional radar systems, such as the ease of signal detection and interception, and susceptibility to interference.

The application discloses a kind of active layer depth identification method based on envelope fusion algorithm, belong to season frozen depth survey technical field, the present application is through field reconnaissance and ground temperature data optimization survey line arrangement and radar frequency, and with ground penetrating radar data acquisition;Data are removed, gain compensation, band-pass filtering and time-depth conversion preprocessing;Then using barycentric method and edge detection method extract bottom interface track, and according to signal definition and continuity adaptive weighted fusion, effectively suppress noise and abnormal value;Finally, with the depth of 0 ℃ isotheral line as benchmark, cross validation and error correction are carried out, and the interface fusion curve of continuous, smooth and centimeter-level precision is output, to calculate the depth of active layer.The method breaks through the traditional interpretation precision limit while maintaining the high-efficiency and non-destructive advantage of GPR, and provides a practical technical solution for the design parameter selection in permafrost engineering investigation.

The disclosure relates to the field of radar sensors, particularly to radar sensors for radar sensing using wireless communication signals. The method includes: receiving a reflected communication signal, wherein the reflected communication signal is a sent communication signal that is reflected by at least one object. The frequency of the sent communication signal is within a radar frequency range, and the sent communication signal includes a sent data payload, and the reflected communication signal includes a corresponding reflected data payload. The reflected data payload is compared with the sent data payload, resulting in a compared data payload; and a delay information and / or a velocity information of the at least one object is extracted from the compared data payload.

The application discloses a radar ship bow interference suppression method, according to the ship bow structure to determine the radar distribution position, according to the number and position of the ship bow interference source, the radar distribution position is adjusted, according to the radar coverage range requirement and the required radar frequency band to determine the number of radars, according to the coverage range of each radar to determine the corresponding frequency band, so that multiple radar frequency bands can realize all-around coverage of the ship bow position, based on the radar distribution position and the coverage range requirement to confirm the radar azimuth and elevation, so that the ship bow direction can realize the reception of radar signals, based on the interference source signal frequency to adjust the beam scanning rate and the repetition period of the corresponding radar, adjust the pulse width of the corresponding radar, adjust the radar frequency band based on the distance change parameter of the detection echo, determine the receiving amplifier power according to the radar echo receiving frequency, and carry out the signal processing of the corresponding radar. The application can reduce the interference frequency of the ship bow radar.

The application discloses a kind of front-looking scanning radar frequency domain fast imaging methods based on Gaussian prior, first obtains echo data and carries out pre-processing, then based on Gaussian prior Bayesian framework, carries out Bayesian inference, again constructs time-domain deconvolution problem, adds smoothing filter operator in equivalent regularization process, and the time-domain deconvolution problem is converted to frequency domain by Fourier transform, and fast frequency domain is solved.The method of the application adds smoothing filter operator when processing time-domain deconvolution problem, can smooth the noise and details of image, while retaining the basic structure of image, improve imaging quality, by Fourier transform into frequency domain, using the property that Fourier transform time-domain convolution is equal to frequency multiplication, successfully convert inverse operation into division operation, greatly reduce the calculation complexity, with higher imaging efficiency under the condition of not losing imaging quality.

The application discloses a kind of multi-transmit multi-receive radar networking cooperative anti-interference methods based on nested reinforcement learning, comprising: obtaining the first state information and the second state information of multi-transmit multi-receive radar system current time;The first state information of multi-transmit multi-receive radar system current time is input to the radar transceiver station decision model trained, and the transceiving strategy of multi-transmit multi-receive radar system is obtained;The second state information of multi-transmit multi-receive radar system current time and transceiving strategy are input to the radar frequency point decision model trained, and the frequency point strategy of multi-transmit multi-receive radar system is obtained;The radar transceiver station decision model trained and the frequency point decision model trained are respectively based on single-agent reinforcement learning algorithm and multi-agent reinforcement learning algorithm and are obtained by nested reinforcement learning;According to anti-interference strategy, control multi-transmit multi-receive radar system emission signal.The application can adapt to complex scene and improve the cooperative anti-interference ability between each radar.

The invention relates to the technical field of bridge monitoring, in particular to a bridge monitoring method and system based on a double-frequency composite array radar, and the method comprises the steps: collecting the signal intensity of each radar frequency at each depth position of each scanning point on each scanning path of a bridge; calculating a signal difference based on a difference condition of signal intensities corresponding to different radar frequencies of each scanning point at each depth position; determining a medium evaluation value of each scanning point at each depth position, and obtaining each abnormal position and each normal position; determining a first evaluation value of any abnormal position; constructing a scanning binary image, and extracting a connected domain in the scanning binary image; and determining a second evaluation value of each connected domain, and detecting a defect area in the bridge. The method can reduce the interference of steel bars and concrete aggregates in the bridge on defect detection, and improves the accuracy of defect identification in the internal structure of the bridge.

A multi-pulse radar sweep signal generation and echo acquisition system and method, implemented based on FPGA, includes a pulse parameter configuration module, a pulse signal generation module, an echo signal acquisition module, an angle analysis module, an echo data transmission module, and an Ethernet port control module; among them, the pulse parameter configuration module is used to read configuration parameters from the TF card and configure the pulse signal generation module and the echo signal acquisition module; the pulse signal generation module is used to generate pulse signals according to the configuration; the angle analysis module is used to analyze the real-time angle data of the radar antenna and send it to the echo signal acquisition module; the echo signal acquisition module is used to acquire echo data within a specified time period according to the configuration, and form a structured data packet with the time angle data and send it to the echo data transmission module; the echo data transmission module is used to send the structured data packet to the host computer; the Ethernet port control module is used to receive the control signal from the host computer and control the switch of the system.

The invention relates to a coherent active bait design method. The method comprises the following steps: time sequence synchronization: a radar data processing program transmits timing signals, beam pointing and control instruction information required by baits to the baits in advance; the bait receives an optical timing signal, converts the optical timing signal into an electric signal through photoelectric conversion equipment, processes the timing signal and an instruction signal, and sends the processed signals to each subsystem of the bait; frequency synchronization: a radar frequency source generates a frequency reference and synchronizes the frequency reference to each bait, the bait generates a radio frequency signal based on the received frequency reference, and it is ensured that a bait signal and a radar signal are coherent; and decoy beam forming: obtaining the direction of a protected radar transmitting beam in real time, and performing special phase weighting on each unit of the decoy phased-array antenna to enable the decoy transmitting beam to form a zero point in the direction of the radar beam direction. The coherent decoy is designed in the aspects of time-frequency synchronization, decoy beam forming and the like aiming at the coherent decoy, so that the coherent decoy is realized to decoy anti-radiation weapons and new-system anti-radiation seekers.

This invention provides a method for hierarchical decision-making and conflict self-resolution in multi-dimensional resource scheduling for communication radars. The method includes: Markov modeling of the problems of base station-user association scheduling, communication frequency band selection, and detection frequency band selection for unmanned aerial vehicle radars in dynamic environments; calculating approximate constraint function values ​​based on the communication and detection frequency band selections and spectrum utilization status; and performing robust action correction on frequency band selections that may lead to frequency band conflicts. Furthermore, through information interaction with the environment, the heterogeneous communication radar system center learns the association scheduling of base stations and user clusters, and the base stations and unmanned aerial vehicle radars learn the optimal strategies for communication frequency band and airborne radar frequency band selection. This method effectively solves the complex resource scheduling problem of multiple devices and multiple time granularities in heterogeneous communication radar systems.

The invention discloses a frequency hopping radar deception jamming optimization method based on a four-dimensional antenna array, which aims at solving the problem of jamming failure caused by a wave beam squint effect when the existing four-dimensional antenna array faces a broadband radar with fast frequency hopping, and comprises the following steps of: constructing a broadband array directional diagram model taking a whole radar frequency hopping frequency point set as a variable; and a layered optimization cost function is constructed. The function preferentially ensures that the echo in the true target direction is suppressed to be below a safety threshold in a full frequency band, and then the minimum gain in the false target direction is maximized. And performing global optimization on radio frequency switch time sequence parameters of each unit of the array by adopting a differential evolution algorithm to obtain a group of robust optimal time sequences irrelevant to frequency. The time sequence at the moment is loaded to the controller, so that the four-dimensional antenna array can stably realize the deception jamming effect of true target stealth and false target enhancement in the whole frequency hopping bandwidth of the radar without real-time adjustment, the aperture transition effect is effectively overcome, and the jamming robustness during frequency change of enemy radar is ensured.

The invention discloses a real aperture radar data processing method and system and a storage medium, and belongs to the technical field of radars. The method comprises the following steps: acquiring a radar original data set of a target for a radar reflection signal and segmenting the radar original data set into a first sub-data set and a second sub-data set; performing difference frequency processing on the first sub-data set and the second sub-data set to obtain a dual-frequency data set; fourier transform is carried out on the radar original data set and the dual-frequency data set to obtain a radar frequency domain data set and a dual-frequency frequency domain data set; respectively performing interference processing on the radar frequency domain data set and the dual-frequency frequency domain data set to obtain a target single-frequency deformation sequence and a target dual-frequency deformation sequence; and obtaining target accurate displacement through the target single-frequency deformation sequence and the target double-frequency deformation sequence. Accurate displacement of the target can be obtained on the premise that hardware complexity is not increased and the size is not controlled.

The utility model relates to the technical field of wave-absorbing materials, in particular to a wave-absorbing material with a multistage laminated cavity, which comprises a first wave-absorbing layer, a second wave-absorbing layer fixedly mounted at the lower end of the first wave-absorbing layer, and a third wave-absorbing layer fixedly mounted at the lower end of the second wave-absorbing layer. The first wave absorbing layer comprises a first wave absorbing plate and a first wave absorbing cavity formed in the front side surface of the first wave absorbing plate. According to the utility model, through the three wave absorbing layers, high-efficiency absorption of electromagnetic waves can be realized in a wide frequency range, application requirements of different frequency bands, such as from a low-frequency communication frequency band to a high-frequency radar frequency band, can be met, the multi-stage laminated cavity structure enables the electromagnetic waves to be reflected and absorbed for multiple times in the material, and the electromagnetic wave absorption efficiency is improved. The absorption efficiency of electromagnetic wave energy is greatly improved, and the intensity of reflected waves can be effectively reduced.

The invention belongs to the technical field of multi-frequency-band radar super-resolution imaging, and relates to a Transform-based multi-discrete-frequency-band radar echo data fusion extrapolation method, which specifically comprises the following steps of: converting obtained complex-form radar complete spectrum data into a real number vector; mapping the converted real number vector to a high-dimensional space through a linear layer to obtain embedded vectors, then adding learnable position codes to each embedded vector to obtain a training set, and finally dividing a data set into a known frequency band serving as input and a to-be-predicted frequency band serving as a true value; the method comprises the following steps: initializing parameters of a Transform model, introducing a sparse attention mechanism into an encoder of the Transform model, and constructing a global-local mixed attention architecture; carrying out model training by utilizing the data set; and preprocessing incomplete radar frequency band data, inputting the preprocessed incomplete radar frequency band data into the trained Transform model, and outputting missing frequency band data by the Transform model so as to realize radar echo data fusion extrapolation.

The invention provides a distributed radar track association method based on signal similarity. The method comprises the following steps: initializing parameters and preprocessing echo signals; constructing a phase compensation function of the reference radar frequency domain echo signal; calculating the similarity between the reference radar and other local radar echo signals and the probability density of the frequency domain echo signal reflected by the same target as the reference radar frequency domain echo signal; and obtaining a distributed radar track association result. According to the method, the probability density of the local radar frequency domain echo signal possibly reflected by the same target as the reference radar is determined through the similarity function of the reference radar frequency domain echo signal and the local radar frequency domain echo signal; and the relevance of track points corresponding to targets observed by the reference radar and the partial local radar is judged through the coincidence degree of the similarity function and the probability density, the influence of the target shape and the scattering characteristic on the consistency of the similarity and the probability density is fully considered, and the relevance precision is improved.

The invention provides a space-based and air-based radar cooperative detection method, device and equipment for a sea-skimming stealth target and a storage medium. Relates to the technical field of radar detection simulation. The method comprises the following steps: acquiring a space-based radar frequency, an azimuth angle and a pitch angle, and determining a sea-skimming target and marine environment simulation parameters; calculating a target double-station RCS and an ocean double-station scattering coefficient; according to the target double-station RCS and the ocean double-station scattering coefficient, the echo signal-to-clutter ratio in a single radar resolution unit of each azimuth angle is calculated; based on the distribution rule of the echo signal-to-clutter ratio along with the receiving azimuth angle, taking the azimuth angle corresponding to the minimum value of the signal-to-clutter ratio as the azimuth of the receiver; and changing the pitch angle at least once, recalculating the echo signal-to-clutter ratio until the azimuth angle of the receiver is located in the forward scattering target area, and taking the currently determined azimuth angle of the receiver as the final deployment azimuth of the airborne receiving radar. According to the invention, long-distance detection of the ultra-low penetration defense stealth target can be realized.