50 results about "Radar waveforms" patented technology

The application discloses a tunnel surrounding rock intelligent grading prediction method and system based on multi-modal space-time fusion, relates to the technical field of tunnel construction, and provides the following scheme, which comprises obtaining time-stamped surrounding rock multi-modal data, the multi-modal data comprising geological radar waveform data, drilling core images and three-dimensional laser point cloud data; a space-time fusion network architecture is adopted to generate surrounding rock feature data and perform tunnel surrounding rock grading prediction. According to the scheme, three types of multi-modal data, namely, geological radar waveform data, drilling core images and three-dimensional laser point cloud data, are fused to provide a comprehensive feature basis for surrounding rock grading prediction, a real-time feedback mechanism is constructed by introducing construction machinery vibration spectrum data, abnormal disturbance is identified by comparing a dynamic threshold library with historical data, vibration features and surrounding rock features are associated based on an LSTM network, accurate rock mass parameter correction amounts are generated, and space-time fusion network parameters are reversely optimized, so that the deviation between static prediction and actual geological conditions is effectively reduced.

The application discloses an airborne radar downburst optimized detection method and belongs to the technical field of radar signal processing. An airborne Doppler radar is used to emit a radar waveform to a possible wind shear dangerous area in front of a route, and wind speed estimation in a transmission direction is obtained by analyzing radar echo IQ data. The application sets a pitch angle of radar scanning according to a take-off or landing stage of an airplane. After receiving the IQ signal, frequency domain correction is performed, data is preprocessed according to spectrum width information, and a wild value area is eliminated. After the preprocessing is completed, a frequency domain clutter suppression algorithm is used to suppress a ground clutter area near zero frequency, and then wind shear wind speed estimation is performed. The application proposes a novel vertical wind speed estimation model, establishes a connection between a downburst core area range and a vertical wind speed gradient, forms a detection and sensing capability for a three-dimensional area of the downburst, and proposes an airplane scanning strategy for optimizing the model.

The invention relates to a joint radar communication system within a wireless communication environment, comprising: at least one processor; at least one transceiver configured to transmit a radar signal through which the azimuth data is transmitted with the radar waveform; at least one receiver configured to receive an echo of the radar signal; and at least one memory communicatively coupled to the at least one processor. The transceiver is configured to transmit a joint radar communication signal (JRC), and the receiver is configured to receive an echo of the radar signal using a joint radar communication channel and transmit a communication (JRC) signal.

The invention relates to the technical field of radar signal level anti-interference, and discloses a coherent accumulation method for a radar waveform, and the method comprises the steps: obtaining a joint frequency repetition frequency agile waveform JFPAW echo signal in a distance frequency domain and an azimuth time domain; according to the calculated optimal coarse velocity, performing range migration compensation on the JFPAW echo signal; performing frequency Doppler compensation on the JFPAW echo signal according to the distance obtained after range migration compensation; and according to the non-uniform Fourier transform, calculating to obtain a coherent accumulation result of the JFPAW echo signal. According to the method, coherent accumulation of echo signals under the condition of phase random fluctuation caused by frequency and frequency domain agility is realized, and the low interception and anti-recognition capabilities of modern radars can be effectively improved. The invention further discloses a coherent accumulation device for the radar waveform and electronic equipment.

This invention discloses a robust waveform design method for uncertain sets of inter-pulse fluctuations of spherical targets. The steps include: selecting the radar waveform to be optimized and the filter size; modeling the target inter-pulse fluctuations and the transmitted waveform constraints to form an optimization problem; transforming the optimization problem into an equivalent problem and solving the equivalent problem to obtain the covariance matrix of the radar transmitted waveform; synthesizing the radar transmitted waveform using the obtained waveform covariance matrix, and solving the receiving filter based on the synthesized waveform. This invention provides a radar waveform design method that is robust to target inter-pulse fluctuations. This waveform, while ensuring magnitude constraints, fully utilizes prior information about target inter-pulse fluctuations, providing robust target detection performance under uncertain sets of spherical target fluctuations.

The application provides a radar waveform classification method and system based on effective area identification, and the method comprises the following steps: inputting a radar emitter time-frequency image into a preset SSD network trained in advance to obtain an effective area where a single intra-pulse signal is located and a corresponding radar waveform category output by the preset SSD network; the preset SSD network is trained by taking multiple radar emitter time-frequency images as training samples, taking the effective area where the single intra-pulse signal is located in each radar emitter time-frequency image and the corresponding radar waveform category as labels. The application identifies the effective area where the intra-pulse signal of the radar emitter time-frequency image is located by using the SSD network, and only classifies the category of the waveform in the effective area in the subsequent process, thereby avoiding the influence of signal characteristics in the invalid area on identification, and effectively improving the identification accuracy of the radar waveform.

This invention provides a three-dimensional radar vision inspection method and system. The method first performs two-dimensional image inspection on the target object to preliminarily determine its material properties, and then sends a first electromagnetic wave to the target object to perform three-dimensional modeling. Next, material parameters are assigned to the target model, and electromagnetic wave propagation simulation is performed to obtain a simulated radar waveform. Ray tracing measurements are then performed on the target object using radar to obtain a measured radar waveform. The simulated radar waveform and the measured radar waveform are compared. If the difference between the two is within a first preset range, the material of the target object matches the material corresponding to the assigned material parameters. If the difference is still within the first preset range, the material parameters are updated, and the above steps are repeated. This inspection method can not only acquire the three-dimensional morphological information of the target object but also determine its surface material properties, overcoming the limitations of existing technology systems and providing comprehensive object recognition and material analysis capabilities.

The invention discloses a sub-echo reflectivity correction method and system based on a B-spline model, and the method comprises the steps: firstly, fully quantifying the irregular features of a laser radar waveform signal through the B-spline model, improving the precision of multi-echo signal information interpretation in a complex environment, and providing reliable initial parameter support for the subsequent sub-echo reflectivity correction; then, by means of a distribution simulation algorithm and vegetation vertical structure distribution, ground and different vegetation target point clouds are classified into two types, and the two types are reflectivity correction algorithm priori knowledge; thirdly, deducing a reflectivity correction algorithm from a radar basic principle equation, and further deriving a multi-layer chain type correction equation; according to the method, the reflectivity of the multiple sub-echoes is further corrected from the standard ground reflectivity and the first target reflectivity correction, a single echo of a single vegetation target is not needed, the precision of a reflectivity correction algorithm is greatly improved, and the application range of the reflectivity correction algorithm is greatly widened.

The method for avoiding third-order intermodulation based on radar waveform generation of the application comprises the following steps: obtaining image test results under different radar parameters based on a standard radar test, adjusting the relationship of the different radar parameters by a frequency spectrum analyzer, determining the relationship between the pulse repetition frequency (PRF) and the frequency difference of different radar signals, and the radar parameters including the radar pulse repetition frequency and the frequency difference between different radar signals; suppressing the third-order intermodulation when the radar transmits and receives multiple signals; after suppressing the third-order intermodulation, sending the generated signal carrier frequency information to the radar radio frequency part, generating corresponding multiple signals and radiating. In a manner without reducing the signal-to-noise ratio, the influence of the third-order component is avoided, thereby improving the signal detection performance of the radar.

The invention discloses a radar waveform design method based on extended target scattering characteristics, and relates to the technical field of radar target detection. Through the steps of receiving echoes, detecting a scattering center and directionally designing a waveform, non-iterative modes such as matched filtering and peak searching are firstly utilized; time delay inequality and scattering intensity of each scattering center of an extended target are accurately extracted from actually measured echoes, frequency domain prior information does not need to be preset, and then transmitted waveforms are designed based on the actually measured parameters, so that energy is actively focused on a main scattering area of the target; according to the method, dependence on complex prior information is avoided, an iterative calculation link is also avoided, the waveform is highly matched with the discrete scattering structure of the extended target, and the energy utilization rate and the effective information proportion of the target in the echo signal are greatly improved while the real-time performance is guaranteed.

Systems, methods, and computer-readable storage media for generating and utilizing radar signals with embedded data are disclosed. Data is encoded onto a CPM waveform, which is then combined with a base radar waveform to produce a radar-embedded communication (REC) waveform. Both the CPM waveform and the base radar waveform may have a continuous phase and constant envelope, resulting in the REC waveform having a continuous phase and constant envelope. The changing (e.g., on a pulse-to-pulse basis) nature of the REC waveform causes RSM of clutter which may result in residual clutter after clutter cancellation, decreasing target detection performance of the radar system. In an aspect, various parameters may be utilized to dynamically adjust the performance of the radar system for a particular operating scenario, such as to enhance radar signal processing or enhance data communication capabilities.

This application relates to a method, apparatus, and device for optimizing airborne radar waveforms based on PCFM. The method involves performing instantaneous frequency analysis on the target template waveform and representing it using multi-code frequency modulation to obtain the initial waveform to be optimized. A simulated similarity function is constructed and used as a constraint. Simultaneously, with the detection performance of the transmitted signal as the optimization objective, a waveform optimization model is constructed. This model is then used to optimize the coded phase sequence of the initial waveform to be optimized, yielding preliminary optimization results. A joint optimization model for transmit and receive waveform processing is then constructed to further optimize the preliminary results. The optimized waveform is then used as the radar transmit waveform for radar detection. This method can improve target detection performance while avoiding identification.

Certain aspects of the present disclosure provide techniques for radar management based on detected interference on an air interface. A method that can be performed by a base station (BS) or a user equipment (UE) includes measuring a received power at each of a plurality of receive beams. The method can also include determining whether the measured power received at one or more of the plurality of receive beams satisfies a threshold condition. If the measured power received at one or more of the plurality of receive beams satisfies the threshold condition, the method can also include selecting a directional transmit beam based on a direction of one of the one or more of the plurality of receive beams that satisfies the threshold condition and transmitting a radar waveform on the directional transmit beam.

The application discloses a MIMO radar waveform design method based on multi-dimensional joint coding, and mainly aims at solving the problems of low waveform design freedom, poor resolution performance and simple waveform form which is easily intercepted. The implementation steps are as follows: constructing a multi-dimensional joint coding MIMO radar waveform initial model; calculating the pulse synthesis result of each sampling point of each target sampling angle by using the echo signal of each target sampling angle of the generated radar array; constructing a cost function of a waveform optimization algorithm according to the sidelobe value of the pulse synthesis result; setting the constraint condition of the waveform optimization algorithm; and optimizing the MIMO radar waveform by using the cost function and the constraint condition. The MIMO radar waveform designed by the application increases the design freedom of the waveform, improves the resolution performance of the radar system on the target, and makes the waveform form complex, thereby improving the anti-interception performance of the waveform.

Systems and techniques of the present disclosure may allow traffic control indicators, such as road signs or signals along a roadway to send information to a radar device at an autonomous vehicle (AV). A traffic control indicator may receive a radio signal sent from the radar device at the AV. A radar apparatus at the traffic control indicator may add information that simulates movement of the traffic control indicator and message data to an updated radar signal. The updated radar signal may then be sent from the traffic control indicator radar apparatus to the AV radar device. The AV radar device may then extract the message data from the updated radar signal based on updated radar signal including the movement information. A controller that controls the AV may then control the AV to drive according to the message data extracted from the updated radar signal.

This invention discloses an online design method for radar anti-sorting waveforms based on communication simulation, mainly addressing the problems of high computational load and long optimization time in existing anti-sorting waveform design technologies. The implementation scheme is as follows: Input a transmission matrix and assume that a phase perturbation is applied to it; determine the anti-sorting direction based on prior information, and construct a perturbation angular domain signal from this assumption and the anti-sorting direction; simulate the perturbation angular domain signal as a communication signal, making the perturbation angular domain signal equal to the communication signal to be simulated; solve for the phase perturbation vector based on whether the magnitude of the communication signal to be simulated is fixed; construct a phase perturbation matrix based on the solved phase perturbation vector; add the phase of the phase perturbation matrix to the phase of the input transmission matrix to obtain the radar anti-sorting waveform. This invention reduces computational load, shortens optimization time, and improves the anti-sorting performance of the waveform, meeting the requirements for online design of anti-sorting waveforms and applicable to centralized MIMO radar waveform optimization.

The application discloses a low-peak sidelobe non-continuous spectrum signal spectrum shaping method, and belongs to the field of radar waveform design.The present application aims at the problem that the existing spectrum shaping method does not consider the peak sidelobe and trade-off signal-to-interference-and-noise ratio, so that the spectrum template is relatively simple and has more defects.The application comprises the following steps: based on the power spectrum representation of the transmitted signal, the signal-to-interference-and-noise ratio and the weighted peak sidelobe level are obtained, and an exponential logarithmic smoothing function is used to transform the weighted peak sidelobe level to obtain the transformed weighted peak sidelobe level; the target function is weighted; the power spectrum constraint condition is set, and the spectrum shaping optimization problem is established in combination with the target function; the spectrum shaping optimization problem is solved to obtain the optimal power spectrum; the signal-to-interference-and-noise ratio and the peak sidelobe corresponding to the optimal power spectrum are calculated; and the spectrum template of the transmitted signal is obtained according to the relationship between the signal-to-interference-and-noise ratio and the peak sidelobe corresponding to the optimal power spectrum under different weighting coefficients, so that the spectrum shaping is realized.The application is used for spectrum shaping.

This invention discloses a method, system, and apparatus for optimizing MIMO radar waveforms based on signal-to-interference-plus-noise ratio (SINR), relating to the field of radar signal processing technology. The method includes: initializing MIMO radar system parameters; constructing a deep convolutional neural network model for optimizing initial waveform phase data; inputting the initialized waveform phase data into the deep convolutional neural network, processing it through grouped convolution and identity mapping, and outputting the optimized waveform phase; generating a transmitted signal based on the optimized waveform phase and establishing a received signal model; calculating the SINR value corresponding to the current transmitted waveform; comparing the calculated SINR value with a threshold value; if it is greater than the threshold, continuing iterative optimization; otherwise, outputting the current waveform as the optimal waveform. This method utilizes the nonlinear modeling capability and powerful data processing capability driven by neural network data to solve the problem of high computational cost in traditional robust optimization.

Embodiments of the present disclosure relate to a waveform design for an integrated sensing and communication system (100). In accordance with some embodiments of the present disclosure, a BS may: determine an initial waveform (211) for each UE (104) of a set of UEs (104) based on a multiple access scheme for wireless communication with the set of UEs (104); generating a set of waveforms based at least in part on the initial waveform of the set of UEs (104) and a set of weighting coefficients, each waveform of the set of waveforms corresponding to one UE (104) of the set of UEs (104), the set of weighting coefficients associated with the set of generated waveforms (213); determining the set of weighting coefficients based at least in part on approximating a combination of the set of generated waveforms as a radar waveform (215); transmitting an indication of the set of weighting coefficients associated with the set of generated waveforms to the set of UEs (104) (217); and transmitting (219) the combination of the set of generated waveforms to the set of UEs (104).

Described is a system for real-time radar range-doppler map learning. The system includes a physics enhanced dynamic reservoir core operable for receiving as an input signal a time delayed copy of a transmitted complex in-phase and quadrature (I / Q) radar waveform and mapping the input signal onto a neural network to determine complex-valued output weights of neural states of the neural network. An online learning layer is included that adapts the complex-valued output weights of the neural states to predict a most likely next value of the input signal. A neural combiner is used to combine a set of delayed neural state vectors with the complex-valued output weights of the online learning layer to compute a denoised and decluttered output signal.

Example embodiments relate to techniques for implementing radar waveform diversity. A technique may involve a radar unit transmitting radar signals into an environment of a vehicle based on a code sequence that indicates a ramp direction and a phase shift for each pulse in a pulse used by the radar unit and receiving radar reflections from the environment. In some instances, the radar unit may leverage antennas in a multiple input multiple output (MIMO) arrangement to further add diversity to transmissions according to spatial code in the code sequence. The technique can further involve using a demodulator to map the environment based on the radar reflections and controlling the vehicle based on the mapping. In some instances, the code sequence is received from a system that is wirelessly providing orthogonal code sequences to multiple emitters.

The present disclosure relates to a vehicle radar system (101) comprising a control unit (130) and a transceiver unit (110) having a plurality of transmitter antenna arrangements (210a, 210b, 210c, 210d) and a transmitter unit (208) arranged to generate an FMCW radar waveform (204a, 204b, 204c, 204d) having a continuous radar signal ramp (r). The transmitter unit (208) is adapted to feed a corresponding radar waveform (204a, 204b, 204c, 204d) to each of the at least two transmitter antenna arrangements (210a, 210b, 204c, 204d), for each of the at least two transmitter antenna arrangements (210a, 210b, 210c, 210d), the transmitter unit (208) is adapted to generate an adjacent sequence (241, 242; 243, 244; 243, 244; 245, 246; 245, 246; 247, 248) having different phase shift increments ([Delta] [Omega] 1, [Delta] [Omega] 2; [delta] [omega] 3, [delta] [omega] 4; [delta] [omega] 5, [delta] [omega] 6; [Delta] [Omega] 7, [Delta] [Omega] 8), such that each sequence (241, 242; 243, 244; 243, 244; 245, 246; 245, 246; 247, 248) is applied with an artificial Doppler modulation.

The invention discloses an LPI radar waveform design and resource allocation method based on manifold optimization, and aims to improve the target tracking precision of a radar. According to the method, the multi-target tracking performance is quantified through the target function based on the posterior Cramer-Rao lower bound. In order to improve accuracy and calculation efficiency, a manifold optimization framework is constructed to carry out optimization post-processing on a constructed objective function: firstly, an accurate penalty function is introduced, an LPI constraint condition is smoothly fused into the objective function, and conversion from a constraint problem to a penalty form is realized; constructing a volume manifold space based on resource constraint characteristics, and reconstructing an original optimization task into an unconstrained optimization problem on a manifold; meanwhile, a parallel conjugate gradient descent algorithm with a self-adaptive step length mechanism is adopted to execute optimization solution. According to the algorithm, parallel computing can be fully utilized to realize rapid convergence, and efficient exploration can be realized in a product manifold space through a self-adaptive step length strategy, so that a better solution and more stable optimization performance are obtained.

The application relates to the technical field of MIMO radars, and discloses a radar waveform combining TDM and DDM, a signal processing method and device and a medium, which comprise a modulated signal transmitting module, a return signal receiving module and a return signal processing module, the application combines the advantages of TDM and DDM, solves the problem of speed ambiguity caused by TDM through slow-time random sampling, the waveform can be well applied to large-scale arrays, avoids speed ambiguity, improves the utilization rate of a Doppler band, a relatively wide Doppler sub-band improves the accuracy of target detection, meanwhile, the application provides a corresponding signal processing procedure for the waveform, and provides a method for separating channels through cyclic correlation using a template, the corresponding target transmitting channels can be quickly and accurately separated, the demand for angle measurement can be met, and the method provided by the application can be compatible with a traditional FMCW radar, and has strong application flexibility.

In view of the problem that existing active jamming waveforms are difficult to counter the cognitive radar waveforms, the present application discloses a radar active jamming waveform library, which comprises a jamming task information acquisition and analysis module, a suppression jamming parameter analysis and judgment module, a deception jamming parameter analysis and judgment module, a smart jamming parameter analysis and judgment module, a suppression jamming waveform module, a deception jamming waveform module and a smart jamming waveform module. The suppression jamming waveform module comprises a classical suppression jamming waveform library, a suppression jamming waveform design rule library, a suppression jamming waveform design rule updating module and a suppression jamming waveform design module; and the smart jamming waveform module comprises a jamming modulation waveform library, a jamming modulation waveform design rule library, a jamming modulation waveform design rule updating module and a jamming modulation waveform design module. The present application realizes flexible, complete and adaptive jamming waveform design, and improves the jamming capability of the active jamming system against complex radar waveforms.

This invention relates to the field of ground-penetrating radar detection and civil engineering structure inspection technology, and discloses an anchor cable positioning method based on single-hole radar waveform characteristics and dual-hole geometric constraints, including the following steps: Step 1: Construct at least two parallel boreholes, acquire borehole wall images through borehole optical imaging, and identify geological information based on the images; Step 2: Perform single-hole reflection scanning and cross-hole multi-offset scanning using a single-polarization borehole radar to acquire single-hole reflection data and cross-hole scanning data; Step 3: Based on the cross-hole scanning data, invert and construct an inter-hole electromagnetic wave velocity field model; Step 4: Use geological information as constraints to correct the inter-hole electromagnetic wave velocity field model; Step 5: Based on the inter-hole electromagnetic wave velocity field model, perform offset processing on the single-hole reflection data of each borehole to obtain a radar profile; thereby achieving precise positioning of oblique anchor cables through algorithmic innovation.

The application provides a method and system for generating a radar waveform, and belongs to the technical field of radar detection. The generated radar waveform is used for target detection. The method comprises the following steps: configuring a required detection distance of each wave position of a radar, determining a maximum range of each wave position based on the required detection distance, and establishing a distance constraint, wherein the maximum range is used for establishing a range constraint; establishing a blind pulse power constraint, a duty cycle constraint, and a minimum blind area constraint; combining the distance constraint and the range constraint to establish an optimization function, so as to determine radar waveform parameters meeting each constraint condition, wherein the radar waveform parameters are used for the target detection.

The invention discloses a software and hardware design method of a radar frequency agility control system based on an RFSoC, and the method employs a ZYNQ chip and a radio frequency front-end receiving and transmitting assembly to carry out the design of a radar system, and employs an upper computer to carry out the control and transmission of frequency agility parameters. Waveform generation is carried out through a ZYNQ chip, AD / DA conversion is carried out, frequency agility control is carried out through a control radio frequency front-end transceiving assembly, and rapid response to interference changes can be realized through efficient processing and real-time control. According to the RFSoC-based radar frequency agility control system digital signal processing platform, radar waveform generation and inter-frame agility, inter-pulse agility and shield agility of radio frequency can be realized according to radar application scene requirements.

This invention discloses a method for optimizing the range accuracy of moving targets based on stepped-frequency radar, relating to the field of radar signal processing technology. The method includes receiving continuous wave signals from a stepped-frequency modulated continuous-wave radar and performing down-conversion processing on the continuous wave signals. By receiving the continuous wave signals from the stepped-frequency modulated continuous-wave radar and performing fast Fourier transforms on each signal, a two-dimensional spectrum representing the coupling relationship between target range and velocity is obtained. The range-dimensional peak index and velocity-dimensional peak index of each target are identified and extracted. Combined with the frequency stepping parameters and signal bandwidth information of the radar system, a preliminary velocity estimate of the target is obtained. The frequency offset error introduced by target motion in the range-dimensional spectrum is analyzed, and a real-time range compensation factor is constructed to correct this error based on the time and bandwidth parameters of the radar waveform. Dynamic compensation and correction are performed, and a high-precision target range value that eliminates part of the velocity coupling error is output, thereby achieving optimization of the range accuracy of moving targets.

The application discloses a kind of MIMO radar low integration side lobe non-continuous spectrum signal fast design method, belongs to radar waveform design field.The application is aimed at the problem that the design of existing MIMO radar non-continuous spectrum signal does not consider spectrum time variation, so that signal adaptability is weak.The application is designed according to spectrum environment time variation in real time, considers the overall performance in accumulation time, defines average autocorrelation function, and takes average autocorrelation integration side lobe and cross-correlation integration side lobe weighting as objective function, comprehensively considers the trade-off between single-element performance and orthogonality of each element;Meanwhile, constant modulus constraint and stopband energy constraint are added, a new optimization problem is constructed;Then ADMM method is used for iteration solution, and conjugate gradient method is used for fast solution when solving subproblem, and the calculation efficiency is higher.Simulation results show that the signal designed by the method has good orthogonality between each element, and the average autocorrelation performance of single element is better than single autocorrelation, which shows the effectiveness of the method.