77 results about "Coherent processing" patented technology

The invention discloses a joint coherent processing method for strong and weak targets of a distributed networking radar, and aims to solve the problem of poor coherent effect caused by low parameter estimation precision of an existing coherent processing method adopted by a distributed networking radar system. A coherent parameter estimation problem is converted into a cosine similarity maximization problem, so that decoherence introduced by radar splitting is compensated, a'strong target-weak target 'interactive optimization criterion is constructed, a coherent parameter roughly estimated by a strong target is utilized to compensate the phase of a weak target signal, and the phase of the weak target signal is optimized. And the signal phase is fed back and adjusted by using the synthesis effect of the weak target, so that relatively accurate parameter estimation under the condition of a low signal-to-noise ratio is realized, coherent synthesis of distance-Doppler domain signals is completed, and the detection capability of a distributed networking radar system is improved.

The invention discloses a FDA-MIMO radar multi-target distance angle joint super-resolution method and system, and mainly solves the problem that the existing phased array only depends on the angle to identify multiple targets, resulting in low resolution ability, and the implementation scheme of the method comprises the steps of obtaining FDA-MIMO radar echo data, and performing separation aliasing on the FDA-MIMO radar echo data to obtain a data matrix; performing conversion stacking on the data matrix to obtain NM * L-dimensional data, and calculating a covariance matrix of the NM * L-dimensional data; performing reverse array decoherence processing on the covariance matrix to obtain a new source signal covariance matrix; constructing a two-dimensional spatial spectrum function of a target distance and a target angle for the new source signal covariance matrix through a MUSIC algorithm; and performing spectrum peak search on the two-dimensional spatial spectrum function, and detecting a local maximum value of the two-dimensional spatial spectrum function to obtain a distance and angle joint estimation value of a plurality of targets. The method can improve the angle resolution capability of the target when the target angle interval is lower than the traditional resolution, reduces the influence of the amplitude-phase error on the resolution capability when the target distance interval is large enough, and can be used for target recognition.

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 discloses a high-resolution range profile feature retention enhancement method based on iterative weighted sparse decomposition, and the method comprises the steps: obtaining radar echo data collected by a radar receiver within a coherent processing time, and constructing a two-dimensional radar echo matrix composed of a range unit number and a pulse sequence number after range direction matching filtering; representing a two-dimensional radar echo matrix as a superposition relation of adding a low-rank clutter component matrix and a sparse target component matrix; based on the superposition relation, an optimization model is constructed, and the objective function of the optimization model is the sum of the weighted nuclear norm of the low-rank clutter component matrix and the L1 norm of the sparse target component matrix. According to the method provided by the invention, the adaptive weight is applied to the singular value, so that clutters are effectively suppressed under a strong clutter background, and key structure features such as the number, position distribution and relative amplitude relationship of scattering points in the target high-resolution range profile are kept.

The invention provides an acoustic signal detection system based on an echo wall mode microcavity acoustic sensor. The acoustic signal detection system can be applied to the technical field of acoustic signal sensing and detection. The acoustic signal detection system comprises an echo wall mode microcavity acoustic sensor used for performing amplitude and phase modulation on predetermined polarization modulation light to obtain output light under the condition that an external acoustic signal acts on the echo wall mode microcavity acoustic sensor and the predetermined polarization modulation light passes through the echo wall mode microcavity acoustic sensor; the detection unit is used for performing coherent processing on the output light based on the predetermined reference light to obtain two paths of target signals, and the two paths of target signals are related to the target transmission amount and the target phase amount; the processor is used for analyzing the two paths of target signals to obtain target transmission quantity and target phase quantity; and according to the target transmission amount, the target phase amount and a plurality of first target formulas, an external sound signal is obtained, and the plurality of first target formulas represent the incidence relation between the target transmission amount and the external signal and the incidence relation between the target phase amount and the external signal.

The invention discloses a dynamic modeling method of a hidden Markov model, which comprises the following steps of: defining a radar-jammer master-slave confrontation mode, namely, when a radar is not interfered, setting an HMM-based information scheduling strategy matrix A and a transmitted pulse time-frequency parameter control strategy matrix B in coherent processing time according to a target detection task of the radar; a transmission pulse sequence is generated. An interference party extracts radar state parameters by using intercepted radar pulses, estimates a radar information scheduling strategy matrix A and a transmitting pulse time-frequency parameter control strategy matrix B, formulates an interference strategy matrix Aj and an interference signal time-frequency parameter control strategy matrix Bj, sends interference signals to the radar, and estimates Aj and Bj of the interference party after the radar receives the interference signals. And judging whether interference is valid or not, correspondingly adjusting the matrix A and the matrix B, and repeating the process to realize dynamic modeling of cognitive radar countermeasure.

The invention discloses a subarray beam domain high-resolution spatial spectrum estimation method under an under-snapshot condition. The method comprises the following steps: step 1, uniformly dividing N-element towed linear array sonar array element frequency domain data into K subarrays; 2, performing beam forming processing on each piece of sub-array data to obtain a beam domain result of each sub-array; 3, calculating a beam domain steering vector; 4, calculating a beam domain covariance matrix; 5, realizing signal and noise power parameter estimation based on a sparse approximate minimum variance criterion; and 6, carrying out frequency band weighted summation on the estimated signal power to obtain a broadband DOA estimation result. According to the method, sub-array division dimensionality reduction, beam domain coherent processing and sparse parameter iteration estimation are combined for processing, the method has the advantages of low snapshot adaptability and high anti-interference capability, the method can be used for near-field weak signal detection of the towed linear array under multi-target interference, and effectiveness is verified through marine test data.

The invention discloses a pseudo-random PRI airborne radar multi-frame track-before-detect method based on non-uniform FFT. The method comprises the following steps: firstly, constructing an airborne radar echo model under a pseudo-random PRI framework; then, the target and clutter folding problem in the RD domain is solved under a non-uniform coherent processing framework; and finally, target detection is realized through a multi-frame DP-TBD algorithm. According to the method, radar echo data of a plurality of scanning periods are fused, incoherent accumulation of target energy is realized, and the target detection capability under the background of low signal-to-noise ratio and strong clutter is remarkably improved; meanwhile, the Doppler ambiguity problem caused by non-uniform sampling is effectively solved by using the non-uniform FFT technology, and the representation accuracy of the target signal in the frequency domain is improved.

The invention belongs to the technical field of intelligent sensors, and particularly relates to a high-precision area array 4D imaging optical method and system based on coherent detection. The method specifically comprises the following steps of: generating a step frequency signal by using an arbitrary waveform generator, loading the step frequency signal on an electro-optical modulator, and modulating a light beam output by a laser; the modulated laser is divided into reflected light and reference light, and the reflected light is reflected by an object to be detected and then enters the area array optical imaging device together with the reference light; the area array optical imaging device comprises a space bridge and a CCD (Charge Coupled Device) photosensitive area, the space bridge splits incident light into four paths through beam splitting control, and the space bridge regulates and controls the polarization state of the incident light, so that a phase difference exists between reference light and reflected light in each path of light beam; coherent processing is carried out on multiple frames of voltage data in each pixel, and the linear frequency modulation rate is calculated; and calculating the speed and position of each pixel target based on the linear frequency modulation rate to realize 4D high-precision imaging of the target.

The invention discloses an inverse synthetic aperture radar imaging and motion compensation method based on OFDM signals. Interference between distance units is effectively suppressed in a distance compression process by utilizing OFDM signals with enough long cyclic prefixes, and estimation errors are reduced. In order to solve the problem of over-resolution unit migration occurring under high-resolution or long-coherent processing, a vectorization observation model containing low-order and high-order phase error terms of target motion is constructed, and a target image and rotation parameters are jointly estimated through two layers of prior models under a sparse Bayesian framework. In order to enhance the calculation robustness of matrix inversion, joint optimization is carried out by adopting an alternating direction multiplier method, and target rotation parameters are accurately estimated by utilizing a maximum image contrast criterion, so that joint imaging and motion compensation are realized. A simulation result shows that the method has remarkable advantages in the aspects of reducing sidelobe interference, improving resolution and realizing real-time imaging, and is suitable for high-resolution inverse synthetic aperture radar imaging of a non-cooperative target.

The invention belongs to the technical field of radar imaging and unmanned system integration, and particularly relates to a synthetic aperture radar imaging system and an unmanned aerial vehicle array SAR image detection method. The unmanned aerial vehicle array SAR image detection method comprises the following steps: S1, issuing an array arrangement form, track design parameters and an imaging mode to a main control unmanned aerial vehicle; s2, the master control unmanned aerial vehicle reckons the position, spacing, flight path and beam direction parameters of each unmanned aerial vehicle; s3, issuing the baseband excitation parameter, the synchronization signal and the attitude control instruction to an unmanned aerial vehicle detection array; s4, the unmanned aerial vehicle detection array synchronously transmits radar beams and receives target echoes, and echo data is transmitted back to the signal processing node; and S5, performing coherent processing by the signal processing node, performing SAR image signal processing, and returning a target image to a ground system. According to the method, coherent synthesis of echo received by multiple front unmanned aerial vehicles and high-resolution image generation are realized, and an image result can be used for tactical identification or geographical situation perception display.

The present invention discloses a chip architecture for optical communications, including a modulated transmitter and a balanced detector. The modulated transmitter is used to modulate a signal light source and transmit it along a signal optical path X and a reference optical path Y, respectively. The modulated transmitter is provided with a polarization combiner for polarization combining light II and light I that has undergone IQ modulation. In the balanced detector, a polarization beam splitter is used to receive and decompose the combined light. A local oscillator light source is used to perform 90° mixing with the decomposed light and transmit the mixing results to a photodetector array. The photodetector array is used to perform photoelectric conversion on the mixing results and transmit them to a coherent processor for coherent analysis. The present invention adopts a polarization multiplexing route architecture to design the chip, so that local oscillator light amplification can further reduce the bit error rate of the transmitted signal. The present invention also utilizes the second-order correlation of the light field to complete signal detection, while eliminating the effects of noise and low power introduced during local oscillator light amplification on signal detection, thereby broadening the application scenarios.

The invention belongs to the technical field of intelligent sensors, and particularly relates to a high-resolution velocity field image optical measurement method and system based on coherent detection. The method comprises the specific steps that light output by an intensity modulation laser is split into reflected light and reference light, the reflected light passes through a reflected light path and then enters an object to be measured, and the reference light passes through a reference light path and then enters a coherent image sensor together with a reflected light beam reflected by the object to be measured; the coherent image sensor comprises a space bridge and four charge-coupled devices, the space bridge splits incident light into four paths through beam splitting control, so that the four paths of incident light are uniformly distributed on the four charge-coupled devices, and the space bridge regulates the polarization state of the incident light; after a set integral exposure time, the controller collects voltage signals in each pixel unit of the four charge-coupled devices, combines the voltage signals and performs coherent processing to obtain a fundamental frequency signal, and calculates a target speed according to the fundamental frequency signal.

The invention relates to a radar target detection and tracking technology, and provides a sky wave over-the-horizon radar particle filter track-before-detect method in order to solve the limitation of the traditional particle filter under long-time accumulation, a virtual frame and a speed interval are divided through motion constraint to obtain a plurality of parallel processing channels, so that a coherent pulse number estimation interval is reduced, and the estimation precision is improved. And coherent processing is carried out. Meanwhile, particles are randomly generated only in a distance-Doppler unit exceeding a threshold through a unit average constant false alarm rate CA-CFAR method before particle filtering processing, and the number of particles is further reduced. According to the method, the operand is reduced, and the weak target detection and tracking capability of the OTH radar is improved. According to the method, echo data preprocessing and coherent and non-coherent processing technologies are combined, and the calculation complexity is reduced while the detection and tracking performance of the weak target under the sky wave over-the-horizon radar is improved by means based on multiple channels and a low threshold.

The invention provides an extended target phase offset coherent waveform design and efficient accumulation method. The method comprises the following steps: acquiring a pulse signal of a JFPA waveform received by a target, returning echo signals of a plurality of extended targets, and searching a target coarse velocity by using a minimum envelope entropy, constructing a matching function to perform motion compensation on the echo signal to obtain a two-dimensional time domain signal; taking the jitter initial phase of the echo signal corresponding to the reference waveform as a matched filter, and compensating the jitter initial phase of the echo signal corresponding to the coherent accumulation waveform; and designing the echo signal after initial compensation as a coherent echo signal, and performing Fourier transform on the coherent echo signal along slow time to obtain a coherent accumulation result of the target. According to the method, accurate initial phase jitter compensation is completed without target distance information, the method is suitable for an extended target, and after the echo signal of the JFPA waveform is subjected to initial phase jitter compensation, the phase is controlled to be uniform, so that the complexity of FFT coherent processing can be reduced.

A precipitation scanning aperture RADAR system comprises at least one transmitting satellite (TX) and a plurality of receiving satellites (RXs) flying in a multi-static formation. The TX emits fixed frequency, pseudo-random, non-repeating phase modulated RADAR energy. Range and Doppler information is extracted from reflected signals received by the RXs to form coherent 2D along track / vertical images, which are combined into a 3D reflectivity map using a power-based incoherent modeling algorithm, such as a Gaussian mixture model. Embodiments implement a spotlight mode in which, for each RX, a plurality of the coherent 2D images obtained during successive coherent processing intervals (CPIs) are incoherently combined, and the satellites adjust their orientations between each CPI to compensate for satellite movement. Inter-satellite timing synchronization of 10 ns or better is sufficient for forming the 3D reflectivity map. The range and Doppler information can be extracted by concurrently demodulating at a plurality of reference frequencies.

The invention relates to the technical field of coal mining, and discloses a collapse column identification method and device and a storage medium, and the method comprises the following steps: carrying out the time-frequency analysis of seismic data, and converting the seismic data from a time domain to a frequency domain; performing frequency division on the seismic data converted into the frequency domain to obtain a plurality of single-frequency data volumes with fixed frequencies; performing characteristic value coherent processing on each single-frequency data body to obtain a coherent attribute body of each frequency; and extracting attribute values of the coherence attribute body of each frequency along the coal seam to obtain a coal seam coherence attribute graph of each frequency. According to the method, the mutual interference of seismic responses of different frequencies can be eliminated, the abnormal response of the collapse column hidden in the time domain can be highlighted in the frequency domain, and the depiction of the edge of the abnormal response is enhanced, so that the interpretation precision of the collapse column is improved, and the collapse column with small size or close distance can be interpreted and identified.

The present application belongs to the technical field of radar imaging and unmanned system integration, and particularly relates to a synthetic aperture radar imaging system and a UAV array SAR image detection method. The UAV array SAR image detection method comprises: S1, issuing an array arrangement form, trajectory design parameters and an imaging mode to a master control UAV; S2, the master control UAV calculates the position, spacing, flight path and beam direction parameters of each UAV; S3, baseband excitation parameters, synchronization signals and attitude control instructions are issued to the UAV detection array; S4, the UAV detection array synchronously transmits radar beams and receives target echoes, and the echo data is returned to a signal processing node; S5, the signal processing node performs coherent processing and SAR image signal processing, and returns the target image to the ground system. The present application realizes coherent synthesis of multiple front-end UAV received echoes and high-resolution image generation, and the image result can be used for tactical identification or geographic situation awareness display.

The application relates to a UAV array dynamic angle of arrival estimation method and system, which comprises the following steps: S1, acquiring array snapshot data after reference channel auxiliary synchronization and waveform compensation; S2, establishing a parameterized space-time coupling phase model in a short coherence processing interval; S3, based on the array snapshot data, obtaining a single-channel input sequence through beam forming, and estimating a radial parameter pair by using time domain atom matching filtering; S4, based on the radial parameter pair, performing common time phase compensation on the array snapshot data to obtain a compensated snapshot matrix; S5, performing two-dimensional correlation calculation by using a space-time steering atom to estimate an angle parameter pair; S6, constructing a complete space-time dictionary atom, and estimating a complex amplitude by using a least square criterion; and S7, performing successive interference cancellation to update a residual error. Compared with the prior art, the application has the advantages of keeping low signal-to-noise ratio coherence gain and significantly reducing calculation complexity.

The application belongs to the technical field of laser detection, and discloses a laser instantaneous frequency detection device and method, which comprises: a delay self-coherence module, the delay self-coherence module is connected with a laser to be detected, and is used for performing delay self-coherence processing on an output laser signal of the laser to be detected, so as to obtain a to-be-detected laser signal containing an instantaneous phase change of the output laser signal; and a quadrature detection module, the quadrature detection module is connected with the delay self-coherence module, is used for receiving the to-be-detected laser signal, performing quadrature detection on the to-be-detected laser signal, obtaining an instantaneous phase of the output laser signal, and calculating an instantaneous frequency of the output laser signal according to the instantaneous phase. The application can reduce the complexity and cost of a detection system.

The present invention provides a signal processing method, device, radar, and storage medium for a MIMO radar. The method includes: before transmitting a signal, first modulating the multiple detection signals of the MIMO radar to different phases according to different transmission channels using the basic phase during phase modulation; then controlling each transmission channel to synchronously transmit its corresponding modulated detection signal, so that the detection signals transmitted by each transmission channel are beamformed in the outer space. Compared with TDM MIMO, the signal processing method provided in this application enables each transmission channel of the radar to participate in the transmission of all detection signals, thereby improving the intra-frame transmission gain and correspondingly extending the time for coherent processing of each receiving channel, thereby extending the radar's effective range and ensuring that the radar can still take into account the angular resolution performance within a longer effective range.

This invention discloses a method for identifying dragged interference based on the transmit-receive spatial frequency spectrum, belonging to the field of radar signal processing technology. The invention includes: constructing an FDA-MIMO radar transmitter array and receiver array; calculating the transmitted signal of the transmitter array elements according to a preset frequency increment; receiving the target and interference echo signals of the receiver array, obtaining the target and interference signal vectors within a CPI; calculating the echo covariance matrix based on the target and interference signal vectors, and estimating its Capon spectrum; accumulating the Capon spectrum of multiple coherent processing intervals, then performing peak search to obtain the trajectory of the target and interference, and segmenting the trajectory; calculating the Euclidean distance between peaks within each trajectory, and calculating its variance to identify dragged interference. This invention utilizes the difference in trajectory characteristics between dragged interference and real targets in the transmit-receive spatial frequency spectrum domain of the FDA-MIMO radar, and distinguishes dragged interference from real targets by the magnitude of the trajectory variance without needing to estimate the target velocity.

The invention discloses a multi-static radar physical target and active false target identification method, and belongs to the field of target identification and interference resistance. The method comprises the following steps: estimating deception parameters of a target in a plurality of coherent processing intervals on the basis of measurement information based on a multi-static radar, so as to combine and form a deception parameter vector; according to the characteristic that physical target deception parameters approximately obey zero mean Gaussian distribution, variance is calculated, and a reference vector is constructed; mapping the deception parameter vector and the reference vector to a matrix manifold or a power spectrum manifold; adopting total Bregman divergence and three types of geometric metrics thereof to define a geometric distance; calculating a geometric distance between the target mapping point and the reference point; and comparing the result with a threshold value to realize the discrimination of the physical target and the false target. According to the method, the separability of physical target and false target distribution is enhanced by utilizing information geometric measurement, and the discrimination performance is remarkably improved; the method can achieve excellent performance under the condition of a small number of samples, adapts to real-time countermeasure requirements, and is high in target recognition robustness and controllable in complexity.

The invention discloses a code hopping spread spectrum communication timing synchronization method and system, and the method employs a signal detection and frame synchronization method to carry out timing coarse synchronization, can calculate the noise floor in real time according to the change of an electromagnetic environment, takes the ratio of a useful signal incoherent processing result to a noise signal incoherent processing result as a detection quantity, is not sensitive to the change of the electromagnetic environment, and is high in detection precision. The risk of signal false capture or missing capture can be effectively avoided; a timing fine synchronization method is adopted, sampling errors are estimated through a correlation peak fitting mode, real-time correction of the sampling errors is achieved through an online table look-up and time domain linear filtering method, the method has the advantages of being high in estimation precision and good in real-time performance under the low signal-to-noise ratio, meanwhile, sampling error estimation and correction are conducted in the time domain, hardware resource overhead is effectively reduced, and the method is suitable for popularization and application. The antenna can meet the requirements of long-distance and high-reliability broadband communication under low power, and can be applied to the working scenes of short-time burst communication and continuous wave communication.

The embodiment of the invention relates to the technical field of communication, and discloses a signal processing method, a storage medium, an integrated circuit, a device and terminal equipment, and the method comprises the steps: carrying out the distance dimension FFT of a frame of to-be-processed signal, obtaining a to-be-processed signal, and dividing the to-be-processed signal into at least two subframes; velocity dimension FFT is carried out on the to-be-processed signal of each subframe to obtain distance-Doppler data of each subframe, and coherent processing and incoherent processing are carried out based on the distance-Doppler data of different subframes; and determining angle information of the target object according to a result of the coherent processing and a result of the non-coherent processing. According to the signal processing method provided by the embodiment of the invention, the angular resolution of the radar system can be greatly and stably improved without adding extra hardware, and the signal processing method also has good performance in a moving scene.

The application discloses a dimension reduction processing method for space-time joint forward-looking imaging of an airborne array radar, constructs a forward-looking imaging geometric model of the airborne array radar, receives a three-dimensional echo matrix in range, azimuth and channel, then transforms data in a single coherent processing time interval into a frequency domain and compensates Doppler phase for the echo matrix, then truncates spectral effective information to obtain snapshot data after dimension reduction. Then the newly obtained space-time snapshot is applied to space-time adaptive iterative super-resolution imaging, a space-time super-resolution spectrum curve corresponding to a space-time snapshot of a range-azimuth unit is estimated, and according to a movement speed of an aircraft and antenna scanning parameters, the super-resolution spectrum curve of each range-azimuth unit is subjected to spectrum accumulation, and finally a two-dimensional forward-looking image is obtained. The application effectively compresses space-time data by truncating echo effective information in a Doppler domain, significantly reduces operation complexity, and meanwhile maintains imaging quality.

A communication method and an apparatus, which are applied to the technical field of communications. The method comprises: a first communication apparatus transmits first information, wherein the first information comprises information of a coherent processing interval supported by the first communication apparatus and / or information of a cross-coherent processing interval supported by the first communication apparatus. The information of the coherent processing interval comprises the maximum duration of the coherent processing interval and / or the maximum number of time units comprised in the coherent processing interval, the information of the cross-coherent processing interval comprises the maximum duration of the cross-coherent processing interval and / or the number of coherent processing intervals comprised in the cross-coherent processing interval, the cross-coherent processing interval comprises M coherent processing intervals, and M is an integer greater than 1. The embodiments of the present application can acquire the capability of sensing receiver devices for processing sensing signals, thus helping to improve the sensing performance.

The chip architecture comprises a modulation transmitting end and a balance detection end, the modulation transmitting end is used for modulating a signal light source and transmitting along a signal light path X and a reference light path Y respectively, and the modulation transmitting end is provided with a polarization beam combiner used for carrying out polarization beam combination on light II and light I subjected to IQ modulation; in the balance detection end, a polarization beam splitter is used for receiving and decomposing combined light, a local oscillation light source is used for performing 90-degree frequency mixing with decomposed light and transmitting frequency mixing results to a photoelectric detector array, and the photoelectric detector array is used for performing photoelectric conversion on the frequency mixing results and transmitting the frequency mixing results to a coherent processor to complete coherent analysis. A chip is designed by adopting a polarization multiplexing route architecture, so that the bit error rate of a transmission signal can be further reduced by amplifying local oscillation light; and signal detection is completed by using the second-order correlation of the light field, the influence of noise and low power introduced during local oscillation light amplification on signal detection is eliminated, and the application scene is widened.

The present invention relates to a method and device for imaging a target rotating component based on micro-Doppler phase compensation. The method includes: processing the overall echo pulse signal of the target based on micro-Doppler technology to obtain the prior information of the target rotating component and the separated echo pulse signal of the target rotating component. Calculating the translational phase compensation coefficient of the target rotating component according to the prior information. Within the coherent processing interval, calculating the rotational phase compensation coefficient of the echo pulse of the scattering point of the target rotating component with respect to the echo pulse in the angular channel where the starting coherent processing moment is located according to the echo pulse signal. Obtaining the echo accumulation result of all scattering points of the target rotating component according to the translational phase compensation coefficient and the rotational phase compensation coefficient, and calculating the imaging result in the angular domain space according to the echo accumulation result. By using this method, an image of the angular domain space distribution of the rotating components of a low-altitude rotor target can be obtained, thereby improving the accuracy of target feature extraction and enhancing the radar's classification and recognition ability for low-altitude targets.