380 results about "Mimo radar" patented technology

The invention discloses a target parameter joint estimation method based on an MCCC criterion in an impulse noise environment, and belongs to the technical field of radars. According to the method, the target function based on the TALS criterion in the PARAFAC algorithm is corrected by adopting the maximum multiple correlation entropy MCCC criterion to enable the target function to be suitable for the impulse noise environment, the PARAFAC algorithm based on the MCCC criterion is derived, the algorithm is applied to bistatic MIMO radar target parameter estimation, dependence of the FLOS method on feature index priori knowledge is broken through, and joint estimation of target parameters is achieved.

A multi-chip MIMO radar system includes a plurality of transmitters and a plurality of receivers. Each of the pluralities of transmitters and receivers are arranged across a plurality of chips. The multi-chip MIMO radar system is configured to provide an exemplary chip synchronization such that the transmitters and receivers of each chip of the radar system are synchronized with the transmitters and receivers of every other chip of the radar system.

The invention provides a high-precision angle estimation method for a distributed millimeter wave radar network, a medium and equipment, and belongs to the technical field of radar signal processing. According to the method, a large-aperture MIMO radar system is constructed based on a plurality of small millimeter wave radars, and an initial rough angle value of a target is obtained by using two-dimensional fast Fourier transform; accurately calculating the walking position of the distance spectrum peak value of each virtual antenna according to the distance resolution of the radar and the rough angle value, extracting all distance spectrum peak value data according to the walking position, and generating a one-dimensional angle vector; performing angle dimension fast Fourier transform on the one-dimensional angle vector to generate an angle spectrum; calculating a target angle estimation value according to the angle spectrum peak value position; the above process is iteratively circulated until the error between two adjacent angle estimation values is smaller than a preset threshold value. According to the method, different types of distributed millimeter wave radar network architectures can be flexibly adapted, the precision problem caused by target distance walking is effectively eliminated, and the angle estimation precision is greatly improved.

The invention relates to the technical field of beam forming, in particular to a flow antenna assisted communication sensing integrated beam forming method and device, and the method comprises the steps: building a flow antenna FAS communication channel model, and constructing a radar sensing model employing multiple input multiple output (MIMO) at a base station end; the method comprises the following steps of: establishing an optimization problem of combining port selection and beamforming under the constraint of meeting a minimum communication SNR (Signal to Noise Ratio) requirement, a minimum sensing SNR requirement and a limited port activation number by taking minimization of system transmitting power as a target; and setting constraint conditions, solving a target problem, and obtaining a communication-sensing integrated beam forming matrix. Therefore, the problems that performance coupling is aggravated and the joint design complexity is high due to the fact that the tradeoff of the communication rate and the sensing precision in the ISAC and optimization variables are increased through FAS dynamic port switching, and the performance potential is difficult to play due to the fact that the FAS extra freedom degree is not effectively combined with ISAC beam forming and waveform design are solved.

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 discloses an FDA-MIMO radar system space topology and transmit-receive parameter optimization method. The method is specifically implemented according to the following steps: step 1, establishing a distributed FDA-MIMO radar system basic model; and step 2, establishing a distributed FDA-MIMO radar system optimization model, and realizing site configuration. The problems that an existing radar system is poor in target signal receiving capacity and low in radar detection performance are solved.

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 provides a distributed MIMO clutter echo simulation method based on GIS information, and the method comprises the steps: obtaining the GIS information of a geographic information system, and dividing a surface scatterer irradiated by an MIMO radar into a plurality of basic scattering units based on the GIS information; calculating slope distances, Doppler frequencies, terrain elevation values and land cover types of the plurality of basic scattering units to form a scene model element set; mapping a plurality of basic scattering units to a radar resolution unit by combining a backscattering coefficient empirical model and a resolution adaptive grid mapping method according to the scene model element set; dividing the radar resolution unit into a permanent scattering area and a dynamic scattering area according to GIS information; performing clutter statistical characteristic simulation processing on the permanent scattering region and the dynamic scattering region to obtain a clutter amplitude sequence; and performing echo analysis processing on the clutter amplitude sequence in a time-frequency domain to obtain clutter echo simulation data. And the simulation precision of clutter echo simulation data is integrally improved.

The invention discloses a joint design method for an MIMO radar and interference integrated system transceiver, and belongs to the technical field of radar signal processing and electronic warfare. Aiming at the problems of spectrum resource waste, equipment redundancy and electromagnetic compatibility caused by separation of radar detection and interference functions in the prior art, the invention provides an AOFP-based combined waveform and filter design method. A multi-target optimization problem is constructed under energy constraint and peak-to-average ratio limitation, SJNR of a minimum interference target and SJNR of an IRAJ system are taken as targets, a closed-form solution is generated by using a scaling technology, fractional programming and a PML method, and dynamic balance of radar detection and interference functions is realized. The designed waveform has high anti-interference capability and concealment, supports space diversity and time-frequency joint modulation of an MIMO system, and analyzes and verifies strong target echo characteristics and interference suppression performance through a fuzzy function. The calculation complexity of the algorithm and the number of antennas are in a cubic relationship, the convergence speed is high, the comprehensive efficiency of a combat platform in a complex electromagnetic environment can be remarkably improved, and the method is suitable for a new generation of cognitive electronic warfare systems.

The invention provides a distributed millimeter wave radar network-oriented DOA estimation method, a medium and equipment, and belongs to the technical field of radar signal processing. According to the method, after a large-aperture MIMO radar system is formed based on a plurality of small millimeter wave radars, a two-dimensional single-snapshot sparse array signal model is constructed by using a steering vector of a two-dimensional MIMO equivalent virtual plane array, and data interpolation and extrapolation processing are performed on aperture missing existing in a sparse array by constructing a block Hankel matrix and applying a matrix completion technology. On the basis, a fast two-dimensional angle estimation algorithm based on phase coherence factor weighting is adopted, and efficient joint estimation of the azimuth angle and the pitch angle of the target is achieved. The method can be flexibly applied to different types of distributed millimeter wave radar networks, effectively overcomes the interference effect of DOA estimation sidelobes and grating lobes in the prior art, and improves the signal-to-noise ratio level of array response.

The embodiment of the invention relates to the technical field of radars, and discloses an MIMO radar emission sequence set design optimization method, which comprises the following steps: constructing a signal model designed based on an AF emission sequence set for an MIMO radar system, selecting ISL of minimizing local AAF and CAF as an optimization criterion, selecting an energy constraint and a dynamic range constraint as constraint conditions, and selecting an energy constraint and a dynamic range constraint as constraint conditions; establishing a four-order non-convex constraint optimization problem; decomposing the fourth-order non-convex constraint optimization problem into a plurality of sub-problems which can be iteratively solved by utilizing an MBI algorithm; sequentially solving the sub-problems by means of CVX to obtain a preliminary solution; and continuously adjusting a search direction and a step length by using a BLS algorithm, and carrying out iterative optimization on the approximate solution until an Armijo condition is met, thereby obtaining a global optimal solution meeting a design requirement, and further designing a radar emission sequence set with good related characteristics, thereby improving the target detection capability, the anti-interference capability and the resolution of the MIMO radar system.

The invention discloses a non-orthogonal waveform MIMO radar imaging method based on deep learning, and the method comprises the following steps: constructing an MIMO radar echo signal model, and obtaining a target echo signal in a whole imaging scene; separating signals of different waveforms in the target echo signal under the condition that the transmitted waveform satisfies an ideal orthogonal condition to obtain waveform vectors corresponding to the different waveforms, and performing azimuth compression to obtain an ideal target image of the MIMO radar; taking frequency domain echo signals at different receiving array elements in an MIMO radar echo signal model and the ideal target image as a training set, and training the constructed deep network model to obtain a trained deep network model; performing target imaging on the actual target echo signal by using the trained deep network model; according to the invention, the echo signal is processed through the trained deep network echo, the coupling interference between waveforms can be effectively suppressed, and the target high-resolution image can be efficiently acquired.

The invention belongs to the technical field of radar signal processing and imaging, and particularly relates to a distributed MIMO radar imaging method based on multi-technology fusion, which comprises the following steps: S1, constructing a distributed MIMO radar array: constructing a distributed array consisting of L identical MIMO radar units, each unit comprising M transmitting antennas and N receiving antennas; the multi-radar synchronous imaging method is characterized in that each radar unit adopts an offset frequency orthogonalization design, signals of each radar unit and different transmitting antennas in the same unit are mutually orthogonal in a time domain and a frequency domain by elaborately setting the offset frequency of each transmitting antenna, a virtual array is equivalent to a uniform linear array, and multi-radar synchronous imaging is realized by utilizing a high-precision synchronous control mechanism. According to the method, the equivalent aperture is greatly expanded through cooperative work of the distributed MIMO radar arrays, so that the angular resolution is remarkably improved, the accuracy and reliability of echo signals are guaranteed by adopting a unique orthogonal signal design, and the imaging stability is improved.

A method of operating a radar system (14), in particular a radar system (14) for a vehicle (10), a radar system (14), a driver assistance system (12) and a vehicle (10). In the method, at least one electromagnetic radar signal (22) is transmitted from at least one transmitting antenna element (34) of the radar system (14). At least one electromagnetic echo signal (40) generated by at least one radar signal (22) reflected from at least one target (20) in a field of view of the radar system (14) is received by at least one receiving antenna element (38) and converted into received data (72) adapted for signal processing. The radar system (14) is operated as a MIMO radar comprising a plurality of transmit antenna elements (34) and a plurality of receive antenna elements (38), where the transmit antenna elements (34) and the receive antenna elements (38) generate a virtual antenna array having a plurality of virtual antenna elements for receiving echo signals (40) during MIMO operation of the radar system (14). For at least a portion of the virtual antenna element, amplitude information and phase information are determined from at least a portion of the received data, respectively, by performing at least one two-dimensional fast Fourier transform. At least one array data set is determined that includes at least amplitude information and phase information for at least a portion of the virtual antenna elements. At least a portion of the data of the at least one array data set is fed to at least one neural network (64), with which at least one piece of positional information of the at least one detected target (20) is determined.

The invention belongs to the field of signal processing, particularly relates to a signal processing method, system and equipment based on an MIMO radar, and aims to solve the problem of limited detection precision caused by insufficient utilization of multi-channel signals and simple fusion strategy in the prior art. The method comprises the following steps: obtaining a target multi-channel echo signal, carrying out distance and angle processing, extracting phase change by using phase unwrapping, carrying out two-stage weighted fusion based on slope entropies of a receiving channel and a transmitting channel in sequence, obtaining a micro-motion signal, carrying out variational mode decomposition and frequency band matching screening, and reconstructing a final output signal. According to the method, the problem of insufficient utilization of multi-channel information is effectively overcome, and the signal noise immunity and the micro-motion feature fidelity are remarkably improved through a double fusion strategy, so that the detection and recognition precision of a weak target is improved.

The invention discloses a millimeter wave radar MIMO multichannel signal sparse separation reconstruction method and system, belongs to the technical field of MIMO radar target detection, and solves the problem of how to improve the MIMO multichannel signal separation efficiency and accuracy, and the method comprises the steps: obtaining a millimeter wave radar echo signal, and converting the millimeter wave radar echo signal into a 4D matrix; performing fast Fourier transform on the 4D matrix to obtain a frequency domain 4D complex matrix and distance-Doppler spectrum data; further obtaining distance-Doppler unit index value pairs corresponding to all peak values; inputting the distance-Doppler unit index value pair into the frequency domain 4D complex matrix to obtain an MIMO multichannel signal two-dimensional matrix; based on the sparse number matrix corresponding to the virtual array, combining with the MIMO multichannel signal two-dimensional matrix, obtaining a two-dimensional sparse reconstruction matrix through numerical relation mapping, and performing vacancy position zero padding operation on the two-dimensional sparse reconstruction matrix to obtain a two-dimensional reconstruction matrix; according to the invention, the efficiency and accuracy of MIMO multi-channel signal separation are improved.

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

A TDM MIMO FMCW radar comprises at least one row of physical receivers with a first spacing (dr) in a first direction, and further comprises a plurality of physical transmitters arranged with a second spacing (dt) in said first direction. To determine whether a peak in an angle spectrum corresponds to a direct reflection or a first-order multipath artefact, an inverse phase-shift vector corresponding to a phase ({circumflex over (ϕ)}1) of the peak is applied and a constant signal with the amplitude of the peak is subtracted. To the thus obtained intermediate signal (v), a further inverse phase-shift vector—now corresponding to an offset phase (Δ{circumflex over (ϕ)}) of the two leading peaks of the angle spectrum—after which a constant signal is subtracted. It is then detected whether the thus obtained test signal (w) has any non-noise content. If yes, the peak corresponds to a multipath artefact, and otherwise to a direct reflection.

A material piling and taking machine based on millimeter-wave radar control comprises a rack, a walking mechanism, a cantilever beam and a material taking mechanism, and relates to the technical field of bulk material processing equipment, millimeter-wave radar arrays are deployed on a front-end support, a middle pitching device and a tail vehicle of the cantilever beam to form a three-dimensional sensing network covering a material pile, the radar arrays support the MIMO technology, and the radar arrays support the material taking mechanism. Single equipment integrates more than or equal to 16-transmitting and 8-receiving antennas, point cloud data acquisition of a material pile within 200 meters can be realized, the resolution ratio is less than or equal to 0.05 meter, three-point deployment of the front end, the middle part and the tripper car of a millimeter wave radar array cantilever beam is adopted, a detection range of more than or equal to 180-degree horizontal coverage and 0-30-degree vertical pitching is formed, three-dimensional point cloud data of 0.05-meter resolution ratio of the material pile within 200 meters can be acquired, and the detection precision of the material pile within 200 meters is improved. Compared with the single-point detection precision of + / -20cm of a traditional laser radar, multi-parameter coupling sensing of a height field, a density field and a flow velocity field of a material pile is realized; an MIMO radar technology single-device 16-transmitting 8-receiving antenna and an STAP space-time adaptive processing algorithm are utilized.

A method and apparatus for separating transmission channels of a DDMA-MIMO radar, a device, and a storage medium. The method comprises: dividing a Doppler frequency domain into N transmission channels according to the number M of transmitters comprised in a DDMA-MIMO radar (S110); establishing an initial correspondence between the M transmitters and any M transmission channels (S120); determining measured range-Doppler amplitude information and reference range-Doppler amplitude information corresponding to the N transmission channels (S130); determining correlation information between the measured range-Doppler amplitude information and the reference range-Doppler amplitude information (S140); and determining a target correspondence between each transmitter and transmission channel on the basis of the correlation information and the initial correspondence (S150).

The invention discloses a UAV positioning and joint deployment and resource allocation method based on a radar, and relates to the technical field of UAV communication, the angle of a UAV relative to the radar is measured by deploying an EMVS-MIMO radar, the distance is determined by combining pulse ranging, and the three-dimensional position of the UAV can be estimated; according to the method, UAV deployment and GU association are optimized based on a BCD method, firstly, rapid convergence of a particle swarm algorithm and global optimization capacity of a grid search algorithm are combined, and UAV deployment is optimized; then, recalculating the GU association according to the new UAV deployment; a constrained particle swarm optimization algorithm is adopted to optimize the UAV transmitting power, and a variable learning rate is introduced to dynamically adjust the inertia weight, so that particles are helped to find a globally optimal solution; based on different requirements of communication and positioning GU on the bandwidth, a greedy algorithm is adopted to allocate the bandwidth of the UAV, and the fairness between the GUs is ensured.

The invention relates to the technical field of slope stability monitoring, and discloses a slope stability monitoring and early warning device based on intelligent sensing, the slope stability monitoring and early warning device comprises a slope body, a detection mechanism is arranged outside the slope body, and the monitoring mechanism comprises a GNSS displacement monitoring unit, a fiber grating stress sensor, an MIMO slope radar and an environment sensor assembly. Through multi-source heterogeneous data fusion: through the mu s-level time synchronization (PTP protocol) of GNSS (+ / -2.5 mm precision), MIMO radar (10-second sampling) and fiber bragg grating (+ / -1pm demodulation), the problem of data islands of traditional monitoring equipment is solved, the space-time alignment precision is improved to an engineering level standard, LSTM (50 units) is dynamically optimized through a hybrid model, and short-time risks such as displacement rate abrupt change are captured (MAElt is predicted in 12 hours; 0.3 mm), XGBoost quantifies the rainfall contribution degree through an SHAP value, long and short term risk coupling analysis and a dynamic weight switching mechanism are achieved, when an LSTM error suddenly increases, an abnormal detection mode is automatically switched, and the early warning response speed is higher.

A method, a sensor system, and a non-transitory computer readable medium are provided to determine the angle of arrival of signal 300 reflected of a target object 302. The method involving receiving a plurality of incident signals reflected from a target at a plurality of receiver antennas 304, identifying with a processor a subset of receiver antennas (404. Fig 4) from the plurality of receiver antennas when the target is in a near filed of the plurality of receiver antennas. The processor performs angle of arrival (AOA) processing on respective incident signals of the subset of receiver antennas to determine the angle of arrival of the signal. The method preferably determining an elevation and azimuth angle of the target based on the angle of arrival. The plural antenna are preferable part of a switched antenna array. The receiver antennas preferably being part of a multiple input multiple output (MIMO) radar and the subset corresponds to a virtual array formed by the MIMO radar. Preferably using all the plurality f antennas to perform AoA determination when the target is determined to be in the far field of the radar.

The invention discloses an RIS-assisted MIMO radar transmitted beam forming method based on beam pattern matching, and the method comprises the steps: taking the minimization of a beam pattern matching error as a criterion, and carrying out the combined optimization of a transmitted waveform and an RIS reflection coefficient; applying constant modulus constraint to the transmitted waveform; applying per-unit mode constraint to the RIS reflection coefficient; constructing a non-convex optimization problem model for a target based on beam pattern matching error minimization; decomposing an optimization problem into two sub-problems of transmitted waveform optimization and RIS reflection coefficient optimization by adopting an alternating minimization framework; converting the non-convex objective function into a quadratic convex function by using a maximum and minimum method; adopting a gradient projection algorithm to quickly solve a quadratic programming problem under the constant modulus constraint and the per-unit modulus constraint; alternately optimizing a transmitted waveform and an RIS reflection coefficient; according to the method, the optimized transmitted waveform and the RIS reflection coefficient are obtained, and the optimal matching of the actual transmitted beam pattern and the ideal beam pattern is realized.

A reconfigurable array mode sharing method for an MIMO frequency modulation millimeter wave radar array comprises the steps that distance dimension fast Fourier transform and speed dimension fast Fourier transform are carried out on echo signal data matrixes obtained after analog-to-digital conversion is carried out on the basis of different modes, and distance Doppler spectrums of different receiving and transmitting antenna combinations are obtained; different modes with the same gain of the MIMO radar system are combined, the mode corresponding to the maximum virtual array aperture in the horizontal direction and the maximum virtual array aperture in the pitching direction under the gain is selected from the combination with the same gain, the two modes are subjected to angle solution and matching, angle solution of the maximum virtual array aperture is achieved in a combined mode, and the maximum virtual array aperture is obtained. A digital beam forming method is used for matching angle information of the two dimensions obtained by solving under a horizontal dimension virtual array and a pitching dimension virtual array with the maximum aperture. According to the invention, when a virtual array reconfigurable technology or an MIMO technology is used, the maximum array aperture in the original same gain mode can be effectively increased by using the complementary effect between different reconfigurable array modes.

The invention relates to the technical field of radar measurement, in particular to a wave observation method and device based on an FMCW millimeter wave MIMO radar, and the method comprises the steps: determining the required radar ranging resolution and ranging range, so as to set the waveform parameters of the frequency-modulated continuous wave millimeter wave MIMO radar; arranging the frequency modulation continuous wave millimeter wave multiple-input multiple-output radar with the waveform parameters set on the observation sea surface according to a preset arrangement requirement so as to measure radar echo data; preprocessing the radar echo data to obtain a radar echo data power spectrum; and processing the radar echo data power spectrum by using a beam forming technology to obtain a wave height time sequence of a sea surface observation point in a required direction, and calculating a sea wave one-dimensional spectrum according to the wave height time sequence of the sea surface observation point in the required direction. Therefore, the problems that a traditional sea wave observation method is complex in operation process, high in instrument manufacturing cost, difficult in instrument arrangement and maintenance, greatly limited by environmental conditions and the like are solved.

The embodiment of the invention provides a near-field MIMO radar data processing method based on multistage background suppression and target enhancement, and is applied to the technical field of radar signal processing. The method comprises the following steps: acquiring a real-time background template and a real-time image frame of a target scene; calculating to obtain differential image data corresponding to the real-time image frame based on the real-time background template and the real-time image frame; performing Gaussian filtering processing on the difference image data to obtain Gaussian filtering image data; performing morphological processing on the Gaussian filtering image data to obtain morphological image data; performing target enhancement processing on the morphological image data to obtain target enhanced image data corresponding to the real-time image frame; and outputting the target enhanced image data. The technical effect of improving the radar imaging precision is achieved.

The invention relates to a millimeter wave radar adaptive transmitting power optimization method for vital sign monitoring. The method comprises the following steps: adopting an FMCW-MIMO radar to carry out human body vital sign monitoring; processing the received echo signal reflected by each frame of human body corresponding to each frame of transmitting signal to obtain a discrete echo signal; preprocessing the discrete echo signal, and estimating a target distance, a speed and an angle of arrival by adopting CFAR (Constant False Alarm Rate) detection; according to the target arrival angle, receiving end beam forming is carried out on the received signal; phase extraction is carried out according to a range gate where the target distance is located, and after band-pass filtering is carried out on the extracted phase, vital sign signals including respiration and heart rate are extracted; and estimating signal power in an arrival angle region according to the arrival angle of the previous frame of data, and performing adaptive adjustment on the transmitting power of the next frame of radar, so that the power of the echo signal reflected by the human body corresponding to the frame meets the power requirement of CFAR detection. According to the invention, low-radiation and high-precision human body vital sign monitoring is realized.

The invention relates to the determination of the angle of an obstacle with respect to a radar system. Especially the invention is concerned with the transformation of radar data into the angle domain. A method for transforming radar data of a coherent MIMO radar system to the angle domain is proposed. The coherent MIMO radar system comprises transmitter antennas (Tx) and receiver antennas (Rx) spanning a virtual 2D aperture wherein two lines defining two physical directions exist, which are not collinear and wherein a group of said antennas is associated with each of said two lines, and wherein the antennas of each of said two groups are spaced apart from each other mainly along the physical direction associated with the respective line of said two groups, where in the calculations to transform the received data from a delay / Doppler domain to an angle domain is carried out using a parameterization in a coordinate system that is a dual basis to a basis constructed from the two physical directions and a third direction being perpendicular to the first physical direction and said second physical direction, and wherein the origin is chosen to be the point of intersection of the lines defined by the two physical directions or the midpoint of the line segment connecting the points of closest contact of these two lines.

This invention discloses a distributed MIMO radar resource allocation method for integrated reconnaissance, interception, and communication, belonging to the technical field of radar resource allocation. It aims to solve the performance balance problem under multi-task coordination in distributed MIMO radar air combat scenarios. An integrated reconnaissance, interception, and communication adversarial scenario is constructed, using the lower bound of position estimation error (SPEB), missile detection probability, and inter-node communication capacity as performance evaluation indicators for reconnaissance, interception, and communication, respectively. Then, with the goal of minimizing the total system transmit power, a model is constructed by combining relevant performance constraints and node task rules. Finally, the model is transformed into a mixed-integer second-order cone programming problem, and the non-convex terms are convexified using the McCormick envelope method. A numerical solution is obtained based on the CVX solver in MATLAB, achieving joint optimization of node task allocation and power allocation. This invention reduces the total transmit power while satisfying three types of performance requirements, achieving efficient waveform resource scheduling and improving the practicality and robustness of radar countermeasures.