190 results about "Mimo radar" patented technology

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.

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 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 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.

The invention relates to a two-dimensional staggered array MIMO (Multiple Input Multiple Output) radar system for monitoring dynamic deformation of a bridge, which realizes decoupling of spatial resolution and time resolution by adopting a two-dimensional staggered array MIMO radar hardware architecture and replacing traditional mobile synthetic aperture with static virtual aperture synthesis through integrated design. According to the system, a continuous virtual area array is synthesized through transmitting and receiving arrays which are in non-uniform sparse arrangement, and high-resolution three-dimensional imaging of a bridge monitoring area is realized in combination with an FMCW signal processing and near-field three-dimensional imaging algorithm; and carrying out pixel-level processing on the serialized three-dimensional complex image by using a rapid time sequence interference and deformation extraction module to obtain a high-precision deformation sequence. The method does not need a mechanical scanning part, has the advantages of high environmental robustness, low hardware cost, flexible deployment and the like, and can provide panoramic and high-precision four-dimensional dynamic deformation field data for bridge structure state evaluation.

The invention discloses a high-degree-of-freedom MIMO radar waveform design method capable of accurately controlling ISL, and relates to the technical field of radars, and the method comprises the steps: S1, carrying out MIMO radar constant modulus waveform design modeling, and constructing a bivariate problem under CMC and CSC constraints; s2, introducing a penalty mechanism, constructing a unified constraint space, and converting a bivariate problem into an unconstrained optimization problem; and S3, calculating the gradient of the objective function of the converted problem in the unified constraint space, and then using an adaptive conjugate gradient algorithm to optimize the two variables in parallel to solve. According to the invention, the problem can be directly solved without loosening, and the DOF of waveform design can be enhanced.

The application belongs to the field of signal processing, and particularly relates to a signal processing method, system and device based on MIMO radar, aiming to solve the problem of insufficient utilization of multi-channel signals and simple fusion strategy in the prior art, which limits the detection accuracy. The application comprises the following steps: obtaining target multi-channel echo signals and performing distance and angle processing, extracting phase changes by using phase unwrapping, performing two-stage weighted fusion based on the slope entropy of the receiving channel and the transmitting channel in sequence, obtaining micro-motion signals, performing variational mode decomposition and frequency band matching screening on the micro-motion signals, and reconstructing the final output signals. The application effectively overcomes the problem of insufficient utilization of multi-channel information, significantly improves the signal noise immunity and micro-motion feature fidelity through the double fusion strategy, and thus improves the detection and recognition accuracy of weak targets.

The application discloses a STCA-MIMO radar anti-interference method based on nonlinear time delay, which comprises the following steps: calculating target echo signals based on nonlinear time delay of transmitting array elements; carrying out digital mixing and matching filtering on the target echo signals to obtain preprocessed signals; determining a first transmitting steering vector and a first receiving steering vector according to the preprocessed signals; calculating a covariance matrix of STCA-MIMO radar system receiving data; calculating an adaptive weight vector by using a robust direct data domain beam forming technology based on the covariance matrix and an actual receiving-transmitting joint steering vector of a target; calculating a first receiving-transmitting joint steering vector of the STCA-MIMO radar system; and carrying out beam forming by using the first receiving-transmitting joint steering vector and the adaptive weight vector. The application can effectively suppress interference signals in the main lobe of the STCA-MIMO radar, and solves the problem of the decline of interference suppression performance in the prior art when the interference is located near the distance grating lobe of the main lobe of the real target.

The invention discloses a TDM-MIMO radar Doppler phase offset compensation method based on iteration, and the method comprises the steps: carrying out the equivalent conversion of a TDM-MIMO radar model into a one-transmitting-multiple-receiving virtual array model, building a signal receiving model of a virtual array, and obtaining a beat signal; constructing a target echo space-time joint matrix; constructing an airspace signal vector based on the target initial Doppler frequency; and performing iterative estimation on target angle estimation and Doppler frequency, and estimating the angle by using a phase offset compensation result. According to the method, the Doppler frequency is scanned more meticulously by constructing the Doppler frequency scanning manifold matrix, the Doppler frequency dimension and the angle dimension are decoupled, the space-time combined two-dimensional estimation is converted into two one-dimensional estimation, and the accurate Doppler frequency and angle are obtained after few times of iteration.

The application provides a FDA-MIMO radar gridless target parameter estimation method based on a single base plane array, relates to the technical field of array signal processing, constructs a single base plane array FDA-MIMO radar system, and the transmitting end and the receiving end of the radar system are composed of a uniform plane array; a receiving signal model is established based on the radar system, the model is vectorized, a selection matrix is introduced to construct an angle-distance decoupling receiving signal model; the covariance matrix of the receiving signal model is calculated; a low-rank matrix reconstruction optimization problem suitable for the model is established according to the covariance matching criterion; the optimization problem is solved by the idea of alternating projection by using the properties of the covariance matrix; the information of the angle theta and the distance r is estimated by the multiple signal classification method according to the covariance matrix; the problems that the FDA-MIMO radar angle-distance decoupling model in the prior art is only suitable for a linear array, and the target parameter estimation method has low estimation accuracy and high calculation complexity can be solved.

A radar system for monitoring shelves in a retail environment, where the system monitors the occupancy of the shelves and / or the dynamics of the customers in front of the shelves. The radar is preferably a wideband 3D imaging MIMO radar.

This invention discloses a gapped waveguide circularly polarized antenna for vehicle-mounted millimeter-wave radar, relating to the field of antenna technology. The antenna includes an upper metal structure and a PCB substrate stacked below. The metal structure integrates a radiating layer, a slotted layer, and a resonant cavity layer enclosed by an electromagnetic bandgap structure and metal walls. The signal is fed in through the PCB chip port, via an E-plane waveguide and an E-H waveguide conversion structure, and then into the resonant cavity. This invention, by employing a longitudinally slotted stacked -45° tilted slot radiating element design, or in conjunction with a parasitic slot structure, can equally excite two orthogonal fundamental modes and control the phase difference, thereby achieving broadband circularly polarized radiation. This antenna adopts a single-layer metal integrated design, featuring low profile, high gain, and wide axial ratio bandwidth, and is easy to fabricate and integrate. It is particularly suitable for high-performance vehicle-mounted MIMO radar systems, effectively solving the problems of high high-frequency dielectric loss and complex circular polarization implementation in existing technologies.

This invention discloses a method for suppressing high sidelobes / grating lobes in a wide-area ultra-sparse MIMO radar system, comprising the following steps: (1) Based on a MIMO radar with sparse node distribution, select one set of array elements, each array element transmits orthogonal waveforms to obtain a joint transmit / receive beam pattern; (2) By changing the carrier frequency, obtain joint beam patterns respectively, multiply the obtained beam patterns to obtain an optimized joint beam pattern; (3) Select another set of array elements, repeat steps (1) and (2) to obtain joint beam pattern results under different array configurations; (4) Multiply the joint beam patterns under all array configurations to obtain the final optimized joint beam pattern. By multiplying the carrier agility results of the joint transmit / receive beam patterns obtained from different carrier frequencies of different MIMO radar transmit / receive array configurations, the joint transmit / receive beam pattern optimization is achieved, resulting in a joint transmit / receive beam pattern with lower sidelobes.

A millimeter-wave automotive radar is disclosed that includes a plurality of millimeter-wave transmitters configured to simultaneously transmit phase-encoded signals according to a phase modulation scheme, and a plurality of subarrays operatively coupled to respective ones of the plurality of millimeter-wave transmitters, each subarray including a predefined number of transmitter elements, and configured to transmit the phase-encoded signals received from a respective one of the millimeter-wave transmitters from other subarrays in different, mutually orthogonal time slots using time division multiplexing.

In MIMO radar systems using the FM-ICW system, interference occurs in the beat signal due to cross-correlation components when the target is at close range. [Solution] The radar transmitter 200 is a transmitting signal that repeats a transmitting chirp signal consisting of multiple pulses having a transmission interval and whose frequency changes over time, and applies one of several classified phase change amounts with respect to the distance to the target to each of the multiple pulses in the transmitting chirp signal, and outputs with a time shift amount; and the radar receiver 300 receives a receiving signal that repeats a receiving chirp signal consisting of multiple pulses of the transmitting chirp signal of the transmitting signal received from multiple receiving antennas 12 that receive the received wave that has been reflected off the target from the transmitted wave from multiple transmitting antennas 11, and generates a beat signal having a frequency that is the difference between the frequencies of the corresponding pulses of the transmitting chirp signal and the pulses of the receiving chirp signal, thereby obtaining distance information to the target.

The invention discloses a distributed MIMO radar AOA target positioning method based on kernel recursive least squares, and the method comprises the steps: carrying out the nonlinear mapping of AOA measurement data obtained by a radar to a high-dimensional RKHS based on a kernel method, converting a nonlinear target position estimation problem into a linear parameter estimation problem in the RKHS, carrying out the online learning through employing the obtained AOA measurement data, and carrying out the positioning of a target position. And outputting a position estimation result of the target on line to complete target positioning. According to the method, effective target positioning precision can be provided under the condition that measurement error prior information is unknown, target positioning precision higher than that of an existing method can be obtained under the condition that measurement errors are large, and the problem that timeliness still needs to be guaranteed under the condition that the requirement for radar target positioning precision is high is solved.

The application discloses a transmitting sub-aperture frequency control array MIMO radar transceiver filter system design method, and is specifically implemented according to the following steps: step 1, obtaining the receiving signal and SINR of the transmitting sub-aperture frequency control array MIMO radar in an interference environment; step 2, establishing a transmitting and receiving beam optimization problem; and step 3, solving the transceiver filter optimization design problem of the transmitting sub-aperture frequency control array MIMO radar. The application solves the problem that the anti-interference effect is limited due to the optimization of only the receiving filter in the prior art, and improves the output SINR level and the anti-interference effect.

The invention relates to a method for a radar system and to a radar system for detecting surroundings, comprising: transmission means having a plurality of transmitting antennas operating in parallel for emitting transmission signals which contain one or more sequences of K individual signals; means for changing the phase position of the transmitted individual signals, via which a different phase progression for the transmitting antennas is realized via the K individual signals; receiving means having a plurality of receiving antennas for receiving transmission signals reflected at objects; and signal processing means for processing the received signal; wherein not all transmitting antennas emit the same average transmission level, a non-coherent integration is carried out via certain signal components (TX integration); and wherein this non-coherent TX integration is carried out multiple times under the assumption of different radial relative velocities of an object and, optionally, distances away at which an object is located, and in the non-coherent TX integration, signal components are weighted more heavily the higher the emitted transmission level of the associated transmitting antenna is, and the result of the non-coherent TX integration is used in order to identify the phase progression resulting from the object relative speed and, optionally, object distance, and / or to identify a variable derived therefrom.

Examples disclosed herein relate to a Multiple-Input Multiple-Output (MIMO) radar for virtual beam steering. The MIMO radar has a plurality of transmit antennas and a receive antenna array having a plurality of radiating elements. The MIMO radar also includes a digital signal processor (DSP) configured to synthesize a virtual receive array having N×M receive subarrays from the plurality of transmit antennas and the receive antenna array, where N is the number of transmit antennas and M is the number of receiving elements. Other examples disclosed herein relate to a method of virtual beam steering.

A method for designing a sparse MIMO virtual antenna array is disclosed. The method includes: determining the size of an equivalent uniform linear array (ULA) based on a target number of sparse elements of the sparse MIMO virtual antenna array; setting a first optimization target as the maximum signal level of one or more side lobes of the ULA when the beam is directed towards a boresight; setting a second optimization target as the maximum signal level of one or more side lobes of the ULA when the beam is directed towards the edge of the field of view; determining a set of separation distances between antenna array elements of the sparse MIMO virtual antenna array, and simultaneously minimizing the first and second optimization targets simultaneously, or minimizing the sum of the first and second optimization targets; and constructing a sparse MIMO virtual antenna array based on the determined set of separation distances.

A monitoring system and method for detecting location of at least one person in a monitored area with a monitoring system. The monitoring system comprises at least one sensor (101, 201, 301, 601, 701, 801) and measuring electronics configured to process data produced by the at least one sensor, wherein the sensor is a radar-based sensor monitoring presence, location, movement and / or attitude of at least one person in the monitored area, such as frequency-modulated continuous-wave MIMO radar-based sensor. The system determines with the at least one sensor presence, location and / or movement of at the least one person (306, 602, 702, 5 802, 803) in the monitored area. The system determines with the at least one sensor presence, location and / or movement of at least one identification tag (310, 311, 401, 501, 611, 706, 810). The system defines and / or updates an identification of the person based on the sensed identification tag when the sensed identification tag has been measured at the same time or within a predefined duration as the observed person and at the same location or within a predefined distance from the same location as the observed person.

The invention relates to a computing device for evaluating radar data from at least one MIMO radar sensor (2) having a non-uniform antenna array (3), the computing device comprising: at least one interface (4) for receiving the radar data; and at least one computing module (5) which is designed to divide the radar data into first radar data of a uniform portion (6) of a virtual antenna array (7) and second radar data of a non-uniform portion (8) of the virtual antenna array (7), to further process the first and second radar data separately from one another in order to obtain a uniform beam pattern (9) and a non-uniform beam pattern (10), to combine the uniform and non-uniform beam patterns (9, 10) in order to obtain an overall beam pattern (11), and to evaluate the overall beam pattern (11) by means of a trained artificial neural network (12) in order to determine an unambiguous angular position of at least one radar target (13).

The application provides a multi-target motion parameter estimation method and device based on MIMO radar, which comprises: performing down-conversion processing on echo signals observed by each receiving array of a MIMO radar system to obtain identification results of baseband signals corresponding to each receiving array; constructing a covariance matrix corresponding to each receiving array based on the identification results; performing eigenvalue decomposition on each covariance matrix, and determining a noise subspace corresponding to each receiving array based on the results of the eigenvalue decomposition of each receiving array; and determining an estimation result of a motion parameter of each target to be measured based on the noise subspace corresponding to each receiving array and an array response matrix; wherein the array response matrix comprises array response characteristics of the receiving array and signal characteristics of the echo signals observed by the receiving array. The application can effectively reduce the calculation load in a multi-target scene, thereby overcoming the limitation of direct estimation methods in the application of multi-target scenes.

The invention relates to a method for a radar system and to a radar system for environment detection, comprising: a transmitting device having MTX > = 2 transmitting antennas operating in parallel for transmitting a transmission signal, said transmission signal comprising one or more sequences of K individual signals; means for changing the phase of the transmitted single signal; a receiving device having an MRX > = 1 receiving antenna for receiving a transmission signal reflected on an object; and signal processing means for processing the received signals, in which coherent integration or incoherent integration (TXRX integration) is performed on the basis of the MRX received signals arriving at the receiving antenna or on the basis of the signals derived from the received signals and on the basis of the MTX signal components, i.e. On the basis of the MTX MRX values, respectively, and the signal processing means for processing the received signals, in which coherent integration or incoherent integration (TXRX integration) is performed on the basis of the MRX received signals arriving at the receiving antenna. A value is given at a time and performed multiple times assuming different radial relative speeds and optionally distances of the object, and the phase step resulting from the object relative speeds and optionally object distances and / or a quantity derived therefrom is identified using the results of the multiple TXRX integration.

A method for sharing reconfigurable array modes in a MIMO frequency-modulated millimeter-wave radar array is proposed. Based on the echo signal data matrices obtained after analog-to-digital conversion of different modes, range-dimensional Fast Fourier Transform (FFT) and velocity-dimensional FFT are performed on them respectively to obtain the range-Doppler spectrum of different transmit / receive antenna combinations. Different modes with the same gain in the MIMO radar system are combined. Among the combinations with the same gain, the mode corresponding to the largest virtual array aperture in the horizontal and elevation directions under that gain is selected. The angles of these two modes are resolved and matched separately, and then combined to achieve the maximum virtual array aperture resolution. Digital beamforming is used to match the angle information obtained under the maximum aperture virtual array in the horizontal and elevation dimensions. This invention can effectively increase the maximum array aperture in the original modes with the same gain by utilizing the complementary effect between different reconfigurable array modes while using virtual array reconfigurable technology or MIMO technology.

The invention relates to a method for a radar system and to a corresponding radar system for environment detection, comprising a transmitting device having MTX transmitting antennas operating in parallel for transmitting a transmission signal, the transmission signal comprising one or more sequences, the invention relates to a radar system comprising a sequence of individual signals, comprising a phase modulation device for changing the phase of the transmitted individual signals, by means of which different phase changes are carried out on the individual signals for MTX transmitting antennas, referred to as phase modulation, the invention relates to a radar system having a phase modulation device capable of generating at least three different phase values, preferably distributed at least substantially uniformly over a phase single value range 2 [pi], having a receiving device with one or more receiving antennas for receiving a transmission signal reflected on an object, the radar system has a signal processing device for processing the received signal. According to the invention, the phase modulation consists of the sum of a linear phase change, which, if necessary, excludes a phase jump due to a phase single-value range of 2 [pi], and an irregular phase sequence, the linear phase change having different slopes on the transmission signals of the MTX different transmission antennas, the invention is characterized in that the superimposed irregular components are superimposed on the MTX different transmit antennas and are used to separate the components in the received signals caused by the transmit signals of the different transmit antennas, while the superimposed irregular components are identical on the MTX different transmit antennas and are used in particular to reduce or avoid the effects brought about by inaccuracies of the phase modulation means and / or by spectral folding.

Multiple-In-Multiple-Out ("MIMO") antenna array device for radar, comprising the following: a receiver antenna arrangement, wherein the receiver antenna arrangement comprises a plurality of receiver antenna elements (152A,..., 152N) of an antenna array arranged in a pattern such that a first receiver antenna element (RX1) is located approximately one unit away from a second receiver antenna element (RX2), a third receiver antenna element (RX3) is located approximately two units away from the second receiver antenna element (RX2), and a fourth receiver antenna element (RX4) is located approximately four units away from the first receiver antenna element (RX1); and a transmitter antenna arrangement, wherein the transmitter antenna arrangement comprises one or more transmitter antenna elements (146A,...,146N) of an antenna array arranged in a pattern such that a first transmitter antenna element (TX1) is placed at a distance of approximately five units from the third receiver antenna element (RX3), and wherein the first transmitter antenna element (TX1) and the third receiver antenna element (RX3) are placed on one side of a printed circuit board.