575 results about "Main lobe" patented technology

The invention discloses an unmanned aerial vehicle signal identification method and system in a complex electromagnetic environment, and belongs to the field of unmanned aerial vehicles. According to the invention, the form of the liquid metal channel of the liquid metal antenna is adjusted to adapt to the target frequency band, and regional electromagnetic signals are collected in all directions. And generating spatial distribution data including the unmanned aerial vehicle and the interference direction based on the phase difference and preset features. The deformation of the liquid metal droplets is regulated and controlled through the electrowetting voltage, so that the antenna main lobe is aligned with the unmanned aerial vehicle, and the side lobe suppression area covers an interference source. Then, a target direction signal set is collected, and time domain fluctuation, frequency domain distribution and spatial domain direction multi-dimensional features are extracted; and inputting the multi-dimensional features into a joint probability model constructed by a Bayesian network, and outputting posterior probability information. Markov chain Monte Carlo self-adaptive sampling is utilized, the classification confidence coefficient is calculated through iterative convergence, the signal category is judged according to a threshold value, and the unmanned aerial vehicle signal recognition accuracy can be improved in the complex electromagnetic environment.

The invention provides a 5G communication method and system based on environmental adaptation, and the method comprises the steps: fusing electromagnetic field intensity distribution, a terminal density thermodynamic diagram and obstacle reflection data through distributed sensing nodes, and generating a dynamic environment sensing matrix. Based on the matrix, establishing a beam pointing model of the motion trail of the user equipment cluster, dynamically adjusting the radiation direction of a beam main lobe, and creating a null region. And in combination with real-time channel multipath phase characteristics, non-uniform interval subcarrier distribution is reconstructed, and multipath phase compensation is carried out. A main lobe radiation direction and a subcarrier distribution mode are integrated into a physical layer structure, and the spatial multiplexing density of a time-frequency resource block is dynamically adjusted according to a service priority. And iteratively optimizing a collaborative matching threshold value of each parameter through closed-loop interaction of a forward channel response feature and a reverse control instruction. According to the invention, the anti-interference capability and the spectrum efficiency of the communication system are improved.

The invention relates to the technical field of radio frequency transmit-receive control, in particular to a radio frequency transmit-receive control system for radar height measurement, which comprises a pulse adaptation control module, a time resolution partition module, an echo structure identification module, a multi-frequency channel screening module and a transmit-receive control decision module. According to the method, by dynamically extracting the echo amplitude jump point and compressing the pulse width, the time domain separation capability can be improved, the recognition precision of an adjacent target can be enhanced, the interval distribution characteristics are constructed based on the jump time difference, the sparse time period is screened for evaluating the resolution feasibility, and the adaptability to different echo densities is enhanced; a structure identification window is established around the maximum value of a main lobe, the overrun number of side lobe samples is counted, the accuracy of signal morphological structure identification is improved, the ratio of the main lobe samples to the side lobe samples is combined with a signal-to-noise ratio threshold to perform frequency band screening, a channel priority sequence is formed, and the flexibility and accuracy of signal processing and the spectrum utilization efficiency in the radar height measurement process are enhanced.

The invention relates to the technical field of signal analysis, in particular to a GNSS (Global Navigation Satellite System) detection method and system based on machine learning, and the method comprises the steps: receiving a navigation radio-frequency signal containing reality and deception, and carrying out the down-conversion of an RF (Radio Frequency) front end to obtain intermediate-frequency data; gNSS signal capture is completed by searching correlation peaks in frequency and code phases based on intermediate frequency data; in the capturing stage, a motion state, a correlation peak number, a noise value, capturing parameters and peak + / -1 chip sampling features are extracted and input into a machine learning classification model to judge whether cheating exists or not; if so, separating the deception signal from the real signal, and respectively sending the deception signal and the real signal into independent tracking channels; measuring an array element carrier relative phase by an array antenna, establishing a phase center model, and correcting to obtain an effective phase center and a differential baseline; according to the method, a deception azimuth angle and a pitch angle are obtained, a beam weight is calculated, a deception direction is subjected to null setting, a real direction is subjected to main lobe protection, and a weight value is fed back in real time to improve a signal carrier-to-noise ratio and locking stability. According to the invention, the problem that the existing commercial GNSS signal is low in power and easy to be interfered by deception is solved.

The invention discloses a phased array weather radar calibration method based on a generalized metal ball calibration theory. Comprising the following steps: in a microwave anechoic chamber, collecting two-dimensional antenna pattern data of a phased array weather radar in at least one working mode and pointing to a plurality of different beams; performing numerical integration on the two-dimensional antenna pattern data, calculating a combined beam main lobe solid angle of the transmitting antenna and the receiving antenna, and calculating an equivalent beam width product; calculating a calibration theoretical reflectivity factor of the metal ball based on the product of the theoretical radar scattering sectional area and the equivalent beam width of the metal ball; actual detection echo data of the phased array radar on the metal ball under different working modes and beam pointing is acquired, and an actual reflectivity factor is calculated; and comparing the actual reflectivity factor with the calibration theoretical reflectivity factor to complete calibration of the phased array weather radar. Aiming at the non-Gaussian working mode of the phased array weather radar, the reflectivity factor of the phased array weather radar can be quantitatively evaluated, and the radar detection performance is improved.

The invention discloses a high-precision spectral interference signal demodulation method for micro distance measurement. The method comprises the steps of S1, interference spectrum shaping; measuring an interference spectrum and a reference spectrum; selecting a six-item combined cosine window as a primary function of an interference signal to obtain a shaped interference spectrum; s2, performing non-uniform Fourier transform to obtain a frequency spectrum of the target signal; s3, on the basis of a multi-spectral-line interpolation algorithm, interpolation is carried out on the window function to solve a fitting function, and a center frequency k is obtained; and S4, outputting a result. And solving and outputting an optical path difference d. According to the method, a six-item cosine combination window is selected as a primary function of an interference signal, and the problem that the accuracy of signal extraction is influenced by mutual superposition of side lobes and even main lobes of a direct current item and a solved frequency item is solved; an interference spectrum is processed by using a fast non-uniform Fourier transform algorithm, accuracy can still be kept under the conditions that the distance to be measured is increased and sampling is gradually sparse, and the problem of resampling deviation caused by a traditional interpolation method can be solved.

The invention relates to the technical field of radar measurement, in particular to a radar height measurement and radio frequency transceiving integrated system which comprises a signal processing module, a channel linkage scheduling module, a path stability judgment module, a frequency distribution management module and a positioning path feedback module. According to the invention, through amplitude peak point and time drift extraction, energy sudden change identification precision is enhanced, signal feature discrimination is improved, a screening channel is matched by using a beam main lobe and an energy center, efficient coupling of direction and energy is realized, path stability analysis introduces power attenuation and energy continuity evaluation, and available section identification accuracy is improved. The signal-to-noise ratio and the channel stable value are considered in frequency selection, the path spectrum utilization continuity is enhanced, frequency mapping is combined with round-trip time difference and height point coverage, the vertical positioning precision and the beam drop point judgment capability are improved, and the adaptability and reliability of radar measurement in a dynamic environment are integrally enhanced.

The embodiment of the invention provides a beam weight generation method, device and equipment, and relates to the technical field of communication, and the method comprises the steps: respectively setting signal snapshots and array manifold vectors of an expected angle and an unexpected angle of a to-be-generated beam; wherein the expected angle is an angle corresponding to a main lobe of a to-be-generated beam, and the unexpected angle comprises an angle corresponding to a side lobe of the to-be-generated beam; generating a cost function according to the set signal snapshot and the array manifold vector; the variable of the cost function is the weight of a to-be-generated beam, and the dependent variable is the sum of a first preset parameter and a second preset parameter; and performing iterative operation on the cost function on the basis of a preset local particle swarm optimization algorithm based on a von Noiemann topological structure so as to obtain a target weight of the to-be-generated beam. According to the embodiment of the invention, the technical problem that the beam directivity and the main lobe power are difficult to consider in the existing weight generation mode of the multi-peak beam can be solved.

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.

The invention provides a vortex electromagnetic wave radar multipath virtual image suppression method and system, and relates to the technical field of radar imaging virtual image suppression, and the method comprises the steps: adjusting the circular ring radiuses corresponding to different modes in a uniform concentric circular ring array according to the prior information of a target pitch angle, and obtaining the radar emission configuration of main lobe alignment; performing time domain sampling on the multi-path vortex radar echo signal in each mode to form a two-dimensional radar echo matrix; analyzing the obtained two-dimensional radar echo matrix and the MISO system echo after phase compensation by using an azimuth dimension point spread function to obtain dual-system imaging features; and performing modal domain FFT and time domain pulse compression processing on the multipath echo features under the MISO and MIMO systems by using fast Fourier transform and pulse compression, and finally outputting a virtual image suppressed synthetic radar image. The multi-path virtual image suppression method has the beneficial effects that the suppression of the multi-path virtual image is realized by utilizing the characteristic that the real image positions of the imaging results are completely the same and the virtual image positions are different under the multi-transmitting and single-receiving systems.

The invention provides a passive antenna array beam forming test method and system, and relates to the technical field of beam forming test. According to the method, channel baseline parameters are established in a silencing environment, frequency hopping and channel switching are combined to realize multi-frequency-point synchronous sampling, a reference source and self-polling data are utilized to calculate a mutual coupling correction matrix and a feeder line consistency factor, and weight projection and equivalent aperture field generation are completed without changing physical wiring conditions; further extracting a main lobe direction, a beam width, a side lobe level and a scanning consistency index through far field transformation, and unwrapping and smoothing a frequency-point-crossing phase result; and meanwhile, generating a unique traceability identifier, establishing full-link association between a test condition and a result, and outputting a criterion conclusion. According to the method, the accuracy, efficiency and traceability of passive array beam testing are improved.

The invention discloses a harmonic and inter-harmonic parameter detection method and device based on a self-multiplication convolution window algorithm, and belongs to the field of signal detection, and the method comprises the steps: obtaining a discrete time domain signal, and carrying out the windowing and mapping of the time domain signal based on the self-multiplication convolution window algorithm, and obtaining a frequency domain signal; calling a quantum particle swarm algorithm to estimate the frequency domain signal to obtain an estimation parameter matched with a preset frequency spectrum; and performing nonlinear error compensation on the estimation parameter by using a preset space-time attention residual network to obtain harmonic and inter-harmonic parameters. According to the method, signal leakage can be suppressed by windowing the signal, the energy of the main lobe of the frequency spectrum is more concentrated, the frequency domain signal is estimated by using the quantum particle swarm algorithm, the evaluated frequency spectrum meeting the actual demand can be quickly screened, and finally, the frequency spectrum is compensated, so that the error can be further reduced, and the detection precision can be further improved.

Various embodiments relate to a radar system, including: a transmitter; a transmit antenna connected to the transmitter, wherein the transmit antenna is a circular polarized antenna; a receiver; a receive antenna connected to the receiver, wherein the receive antenna is a dual polarization antenna having a main lobe and ambiguity sidelobes; wherein the radar system is configured to: transmit a first and second radar signal with first and second circular polarizations in first and second modes; receive reflected first and second radar signals; process the received first and second radar signals to detect a target and to produce first and second mode target powers; comparing the first mode target power to the second mode target power to determine which lobe of the antenna in which the target is located.

The invention relates to the technical field of communication, and discloses an anti-interference communication sensing integrated beam forming method and system. The method comprises the following steps: generating an integrated waveform based on an orthogonal signaling base and a random data symbol; the sensing ranging performance is evaluated through periodic and non-periodic autocorrelation functions, time-frequency resource allocation of the waveform is optimized based on the performance, and an optimized waveform is generated; obtaining channel state information, carrying out interference source identification, and calculating a beam forming weight according to an identification result; mapping the optimized waveform to a time-frequency resource lattice of a frame according to orthogonal frequency division multiplexing to generate a frame structure signal; inputting the frame structure signal into a multi-antenna array, and regulating and controlling the phase and amplitude of each antenna unit through a beam forming weight to form a directional beam with a main lobe aligned with a target and a null aligned with interference; the target and interference changes are monitored in real time, the beam forming weight and waveform time-frequency resource allocation are dynamically updated, the anti-interference capability is improved, and the communication perception integration performance is enhanced.

The invention provides a wave-absorbing material, and belongs to the technical field of electromagnetic wave absorption. The wave-absorbing material comprises a metal reflection bottom layer, a wave-absorbing middle layer and a scattering upper layer, the wave-absorbing middle layer is made of a ferroferric oxide loaded reduced graphene oxide and epoxy resin (Fe3O4 (at) RGO / EP) composite material and used for absorbing electromagnetic wave energy, and the scattering upper layer is of a patterned metasurface structure made of chopped carbon fiber reinforced epoxy resin (SCF / EP). And a phase-regulated two-dimensional periodic array is formed. By arranging a three-layer structure of the metal reflecting layer, the Fe3O4 (at) RGO / epoxy composite wave-absorbing layer and the chopped carbon fiber scattering layer, broadband absorption and directional scattering control of electromagnetic waves within the range of 2-18 GHz are achieved, a stealth function composite material system with dissipation and deflection dual-mechanism cooperative work is formed, the structure utilizes the patterning design of the scattering layer, and the structure has the advantages that the structure is simple, the structure is compact, and the application range is wide. On the basis of the generalized Snell's law, engineering regulation and control of the radar wave reflection direction are achieved by regulating and controlling the reflection phase difference between pattern units, reflection energy is effectively deviated from the main lobe direction of a radar receiver, and therefore the reflection signal intensity of a target in a radar detection system is reduced.

The invention relates to a time domain broadband adaptive beam forming method and system based on Chebyshev weighting, and belongs to the field of array signal processing. Aiming at the technical problems of poor real-time performance and high sidelobe of the existing broadband beam forming, the method comprises the following steps of: dividing a received broadband signal into a plurality of sub-bands, obtaining an optimal weight vector for each sub-band by adopting a minimum linear constraint iterative algorithm after down-conversion, constructing an expected response of an FIR filter according to each weight, obtaining a filter coefficient through L2 norm convex optimization, and finally obtaining a high sidelobe beam according to the expected response of the FIR filter. And performing time domain weighting on each array element signal by using a filter bank, and outputting a directional beam. According to the method, the calculated amount is low, a main lobe and interference null can be formed in real time in a broadband, and a certain side lobe height is kept.

The invention discloses a non-line-of-sight moving target three-dimensional reconstruction method based on an MIMO millimeter wave radar, and is applied to the technical field of radar target detection in a complex urban environment. Aiming at the problem of difficulty in realizing three-dimensional reconstruction of a non-line-of-sight moving target in the existing radar target detection technology, the method comprises the following steps: firstly, establishing a non-line-of-sight multipath propagation model, and exporting a multipath signal model of an MIMO millimeter wave radar; the invention further provides a multipath signal departure angle (DoD) / arrival angle (DoA) unambiguous estimation algorithm, and solves the problem that a main lobe and a grating lobe are difficult to distinguish in the DoD / DoA estimation process of an existing commercial MIMO radar. And finally, proposing a path-oriented non-line-of-sight target three-dimensional positioning algorithm, respectively positioning the non-line-of-sight target by using different paths, and fusing different path positioning results to form a three-dimensional point cloud. According to the method, three-dimensional reconstruction of a plurality of non-line-of-sight moving targets can be realized, and the correlation problem between paths does not need to be considered.

The invention provides an array error robust narrowest beam synthesis method based on sparse optimization. According to the method, for the problem that a main lobe area of an array antenna cannot be accurately determined under the low side lobe constraint, slack variables are introduced, the high-gain spot beam optimization problem is converted into the main lobe width minimization problem, robustness control over array amplitude-phase errors is introduced into the constraint, and the beam forming performance under the condition that array errors exist is remarkably improved. The method comprises the following calculation steps: 1, constructing a comprehensive convex constraint condition of a directional diagram according to beam pointing and an upper bound of an array amplitude-phase error; 2, constructing a cost function based on a logarithm minimization problem of an e index sum, and constructing a directional diagram comprehensive convex optimization problem; and 3, solving an optimization problem by using a convex optimization solving tool. According to the method, while the width of the main lobe is minimized, accurate control over the characteristics of the main lobe and the side lobe of the directional diagram is achieved under the condition that the amplitude-phase error boundary is given.

The invention relates to a networking radar multi-target tracking beam allocation method and system for resisting multiple jammers, and the method comprises the steps: building a model; obtaining a signal to interference and noise ratio of each radar node receiving end after main lobe and side lobe interference step-by-step suppression, and establishing a covariance matrix of radar node estimation target parameters; calculating a covariance matrix of radar node estimation target parameters, and obtaining a tracking result of the networking radar on each target; representing target tracking precision through a posterior Cramer-Rao lower bound, establishing a cost function for each target, summing the cost functions of the targets as a target function, and establishing an adaptive scheduling multi-radar tracking beam optimization model in combination with radar beam constraint conditions; and solving the adaptive scheduling multi-radar tracking beam optimization model. The invention provides a networking radar tracking multi-target beam allocation method and system for resisting multiple jammers, which can effectively suppress interference and stably track targets in the whole process.

The invention relates to the technical field of electromagnetic simulation, in particular to a W-band antenna pointing angle simulation analysis method, which comprises the following steps: acquiring the size of a W-band antenna and the form of a radiation unit, extracting main lobe curvature and feed matching characteristics, identifying a main lobe edge interference path, and adjusting a reflection phase to form a dynamic reflectivity boundary. Dividing tetrahedron and hexahedron grids to evaluate polarization consistency, optimizing a field intensity relationship between a main lobe and a side lobe, screening an angle interval, and obtaining a directional angle correction parameter. According to the invention, the specific size and form of the antenna are acquired, the curvature distribution of the main lobe coverage area and the matching relation with the feed structure are deeply analyzed, and the reflection intensity difference between the main lobe path and the side lobe path is monitored, so that the pointing precision and the coverage efficiency of the antenna are effectively improved; according to the antenna design, the performance is ensured, the specific area can be optimized, and the predictability and the stability of the antenna performance are remarkably improved.

The invention discloses a Shack-Hartmann wavefront detector centroid calculation method and related equipment, and relates to the field of optical measurement, and the method comprises the steps: obtaining a light spot array grayscale image, detecting the local maximum value of each light spot, and dividing sub-aperture image regions corresponding to micro lenses one by one according to the local maximum value; extracting a gray matrix of each sub-aperture image region, respectively determining one-dimensional regions of a light spot main lobe in row and column directions, and intersecting to obtain a main lobe region; a main lobe area is deducted from the sub-aperture image area to form a threshold calculation area, and the maximum gray value of the threshold calculation area is selected as a threshold; and performing threshold reduction on pixels in the sub-aperture image area, setting a negative value to zero, and calculating the position of the mass center of the light spot based on the processed image. According to the method, sub-aperture adaptive threshold and local background removal are realized, weak light spot information loss caused by a unified threshold is avoided, and the precision of centroid calculation and wavefront restoration is improved.

The invention relates to a focused ultrasonic wave-based target positioning method, which comprises the following steps of: acquiring original data of an ultrasonic signal through a sensor array, recording propagation time and intensity distribution, separating a main signal from an interference signal by adopting a time domain analysis method, and determining a preliminary energy distribution characteristic; according to the energy distribution characteristics, correcting a signal propagation path by using a sound velocity distribution model, and determining a corrected energy concentration degree value; signal boundaries are enhanced through an adaptive filtering algorithm, half-power point features are extracted through wavelet transform, and a beam width quantization result is determined; according to a beam width quantification result, calculating peak distribution of a main lobe and a side lobe by using an array response function, and determining an initial evaluation value of a side lobe suppression ratio; adjusting weight distribution through a multi-dimensional parameter joint optimization algorithm, and determining an environment adaptive weight distribution scheme; and combining the energy distribution predicted value and the beam width quantification result through a weighted fusion algorithm, and determining a focusing precision evaluation value by adopting Kalman filtering smoothing processing.

The application discloses a method for simultaneously resisting suppressing interference forward-looking imaging of a missile-borne forward-looking array radar, adopts an array antenna in a cut-off track direction to receive echoes of a forward-looking area, and samples to obtain distance-pulse-array three-dimensional echo data; pulse compression in the distance direction is performed on the three-dimensional echo data, a pulse compression reference function and a migration correction factor are multiplied in the frequency domain, and high resolution in the distance direction is realized; multi-channel receiving data of each distance-pulse unit is selected, and is sequentially arranged to form a corresponding space snapshot of the unit; a covariance matrix of interference and noise is established, and the maximum likelihood estimation value of the target angle and amplitude in the interference environment is approximately solved by using an adaptive single-pulse algorithm on the space snapshot signal of each distance-pulse unit after distance pulse compression; and the angle measurement result is projected to the distance-azimuth domain, and through space coordinate conversion, a two-dimensional forward-looking imaging diagram is obtained. The application realizes high-resolution imaging of a forward-looking target while effectively suppressing main lobe suppressing interference.

The invention relates to the technical field of information, and discloses a self-adaptive radio frequency energy capture method and system, and the method comprises the steps: collecting radio frequency signals in an environment, separating independent components of each frequency band signal from the radio frequency signals, determining the power density distribution and main lobe direction of each frequency band signal, and determining the deviation main direction of each frequency band signal; the antenna element spacing and the reference value of phase adjustment are determined by combining the expected gain requirement of the current environment, so that the antenna array configuration data are determined, the antenna array is controlled to scan the uncovered range of each frequency band signal, and then the full / directional capture mode is dynamically switched. The energy collection efficiency data in the current capture mode is evaluated to determine the target frequency band with sidelobe interference, the reference value of the target frequency band is adjusted, and the signal focusing effect is determined through the adjusted reference value to determine the capture priority of each frequency band signal, so that the radio frequency energy collection efficiency in the complex electromagnetic environment is effectively improved; and efficient capture and utilization of multi-band weak radio frequency signals are realized.

The invention relates to the technical field of laser radar detection, in particular to a frequency-modulated continuous wave laser radar high-precision distance measurement method, which comprises the following steps of: 1, firstly, performing noise suppression by using an improved FTRLS (Fast Transverse Recursive Least Squares) adaptive filtering algorithm aiming at a low signal-to-noise ratio signal; 2, adjusting the added limitation and filter parameters, iterating the optimal parameters, and applying the optimal effect to subsequent spectrum correction; 3, windowing the denoised signal, and carrying out FFT (Fast Fourier Transform) to obtain a frequency spectrum of the signal; and 4, smoothing the signal by using a Butterworth filter, suppressing a side lobe of a frequency spectrum due to the characteristics of the filter, and highlighting the energy of a main lobe of the signal and the position of a spectrum peak. According to the method, a redundancy feedback-dynamic restart mechanism is applied to an adaptive filtering algorithm RLS, the FTRLS algorithm which is added with a transverse filter and leads to reduction of denoising precision is greatly improved, numerical divergence of the FTRLS algorithm is inhibited by using a regularization factor, and the signal-to-noise ratio is improved.

The invention relates to the technical field of radar information, in particular to a ground clutter suppression method for a ground reconnaissance radar, which comprises the following steps of: firstly, establishing a clutter profile map by using echo data, judging information inside and outside a clutter according to the clutter profile map, and selecting different signal processing flows, namely, adopting a detection channel 1 outside the clutter, adopting a detection channel 2 and a detection channel 3 inside the clutter and adopting a detection channel 2 and a detection channel 3 outside the clutter; after the detection channel 1 passes through the MTD filter, clutter suppression processing is not carried out, and a detection result is output; the detection channel 2 is a coherent processing channel, firstly performs mean filtering processing, then performs coherent processing, performs clutter suppression processing through phasor mean filtering, and outputs a detection result; and the detection channel 3 is a zero Doppler processing channel and is used for detecting a low-speed target in a clutter area, compared with the prior art, the method can reduce Doppler sidelobes as much as possible on the premise of ensuring that the ground clutter height is suppressed, and has the minimum main lobe width and the minimum signal-to-noise ratio loss.

The invention provides a non-uniform sampling rotation MIMO super-resolution imaging method, system and product, and the method comprises the steps: synthesizing a virtual aperture based on collected radar data, and building a coordinate system based on the virtual aperture; calculating position information of the radar antennas in the coordinate system, and screening all the radar antennas based on a preset step length to obtain effective virtual antennas; acquiring target distance information based on the acquired radar echo signal; constructing a rotating super-resolution dictionary based on the target distance information and the position information of the effective virtual antenna, and generating a local super-resolution image based on the rotating super-resolution dictionary; and performing coordinate transformation and data splicing on each local super-resolution image to generate a global super-resolution image. Compared with a traditional angle estimation algorithm, the method provided by the invention can greatly improve the angle resolution capability, enables the main lobe of the radar to face the target at any time through the rotatable characteristic of the platform, enables the monitoring area of the radar to be enlarged, improves the target detection capability, and meanwhile, the radar has the advantage of flexible deployment.

The invention relates to a radar target recognition method and device under main lobe jamming based on prior information assistance, and the method comprises the steps: constructing a point distribution function under jamming capable of depicting jamming characteristics and an HRRP distortion rule, effectively extracting jamming prior information, and combining a multi-scale feature extraction network layer and a cross attention fusion mechanism to recognize a radar target under main lobe jamming. Deep fusion of HRRP features and interference prior information is realized, so that the target recognition accuracy and robustness of the model under typical interference conditions such as intermittent sampling and forwarding are remarkably improved. Therefore, the problems that in the prior art, under the typical interference condition, the radar target high-resolution range profile recognition robustness is poor, and the recognition accuracy is reduced are solved.

The invention discloses a low-sidelobe directional diagram synthesis method, device and equipment and a storage medium, and relates to the technical field of antennae, and the method comprises the following steps: simplifying an array factor response expression according to the structural symmetry of a to-be-optimized antenna array, and representing the simplified array factor response expression in a vector form; taking the maximum simplified array factor response on a discrete sampling point in a minimized side lobe area as an optimization target, taking keeping the main lobe gain of an antenna array to be optimized and the initial upper bound and the initial lower bound of an array element weight as constraints, and modeling a low side lobe directional diagram comprehensive problem as a linear programming problem; and solving the linear programming problem to obtain an optimized array element weight and a corresponding array factor directional diagram, if the EIRP or G / T value of the system does not meet the corresponding set value, adjusting the initial upper bound and lower bound of the array element weight, and solving the linear programming problem again. According to the method, the optimization variable dimension and the constraint number of the convex optimization problem are reduced, and the operation efficiency is greatly improved under the condition of global optimum.

The invention provides a bistatic synthetic aperture radar track planning method and system based on structure driving, and relates to the technical field of radar track planning, and the method comprises the steps: building a BiSAR echo model based on a target scattering model; analyzing the imaging characteristics of the target under different configurations, and revealing the constraint relationship between the target structure representation and the configuration; constructing a structure-driven multi-stage trajectory planning model based on the constraint relationship between the target structure representation and the configuration; the trajectory optimization is modeled as a multi-objective optimization problem; through a non-dominated sorting genetic algorithm based on target scattering characteristic driving, a multi-target optimization problem is solved so as to plan a platform track in each stage. According to the method, the limitation of a point target model in an existing trajectory planning method can be broken through, all main lobe observation configurations capable of presenting target structure information are optimized, the retention degree of the target structure information in a BiSAR imaging result is effectively improved, and the interpretability of the image is remarkably enhanced.