2510 results about "Radar systems" patented technology

The invention provides an oil film detection method and system based on a hierarchical self-organizing network and scale adaptation, and relates to the technical field of oil film detection. According to the technical key points, the method comprises the following steps: preprocessing an obtained original radar image; performing oil film region identification on the preprocessed radar image by using a trained oil film identification model based on the improved growth layered neural gas network to obtain an oil film candidate region; and segmenting the oil film candidate region by using an improved multi-scale threshold segmentation algorithm to obtain a final oil film detection result. According to the method, a local feature enhancement mechanism, dynamic level adjustment, adaptive error attenuation, sparse constraint optimization and a real-time adaptive learning mechanism are introduced, so that the adaptivity, robustness and calculation efficiency of the detection model are remarkably improved. The method can be integrated in a shipborne radar system, is high in calculation efficiency, can meet the real-time processing requirements of shipborne equipment, and is suitable for practical application scenes such as marine oil spill monitoring and emergency response.

A linear chirp radar system, apparatus and method use a radar control processing unit to control an LFM radar front end which generates analog-to-digital (ADC) sample signals from one or more target return signals received in response to transmitted linear chirp radar signals, where the radar control processing unit is connected and configured to mitigate range migration by directly filtering the ADC samples using a modified Doppler filter that is tuned to fast-time scaled, slow-time frequencies to generate a focused ADC Doppler cube, and by applying a Fourier Transform on each Doppler cell in the focused ADC Doppler cube to generate a focused range-Doppler cube.

The invention discloses a backpack and unmanned aerial vehicle laser radar single tree segmentation method and system based on deep learning. The method comprises the steps that tree multi-platform point cloud data is acquired and fused based on an unmanned aerial vehicle and a backpack type laser radar system; generating individual tree label data; constructing a single-tree segmentation model which comprises a feature extraction network, a feature sorting and clustering module and a feature screening module; and single-tree segmentation is carried out after the single-tree segmentation model is trained. In order to solve the problem of insufficient feature extraction capability of a traditional method under complex forest stand conditions such as canopy embedding and form approaching, a spatial attention mechanism and a hierarchical density clustering module are introduced, feature weights of different regions are dynamically allocated in a coding stage, and the sensitivity to a local geometric structure of a canopy embedding region is enhanced; and meanwhile, multilevel semantic information is reserved by utilizing a feature fusion strategy in a decoding stage, so that the three-dimensional space topological feature distinguishing capability and the crown boundary recognition capability are enhanced, and the accuracy of single tree segmentation is improved.

The invention discloses a dynamic unmanned aerial vehicle cluster electromagnetic characteristic modeling method and system based on a digital array radar, and the method specifically comprises the steps: setting radar system parameters, building a time-varying motion model of an unmanned aerial vehicle cluster, and obtaining the formation pose distribution of the unmanned aerial vehicle cluster under a global coordinate system; component decomposition is carried out on an unmanned aerial vehicle CAD model, shielding analysis is carried out under the radar sight line constraint condition, time-varying scattering center parameter extraction is carried out according to the dynamic electromagnetic effect between targets, scattering center space distribution of an unmanned aerial vehicle cluster is updated in a time sequence recursion mode, and construction of a time-varying scattering center model is completed; a radar system signal model is constructed according to digital array radar DAR parameters, multi-dimensional dynamic feature extraction and parameter mapping are carried out, digital array radar multichannel signal modulation and unmanned aerial vehicle cluster target radar echo construction are completed, and radar scattering electromagnetic characteristic modeling of a dynamic unmanned aerial vehicle cluster is realized. According to the method, the model description accuracy is improved, and the calculation process is more efficient.

The invention provides a self-adaptive calibration method, device and equipment for airborne radar and a storage medium, and the method comprises the steps: fusing multi-modal monitoring data, such as radio frequency signals, structural vibration and environmental parameters, through introducing a space-time attention mechanism, and generating unified feature representation; further constructing a digital twinborn body combined with Transform and LSTM based on the characteristic representation, realizing dynamic modeling of a nonlinear performance degradation rule of the radar system, and ensuring that a health index sequence accords with an actual degradation characteristic through physical constraint verification; the fault diagnosis report generated by residual analysis and an interpretable AI technology can realize interpretable positioning of abnormal features in a complex environment, and meanwhile, a diagnosis result is converted into a physical constraint cue word to be input into a large language model to obtain an optimization suggestion and feed back and update digital twinborn parameters, so that a closed-loop evolution mechanism is formed, and the diagnosis accuracy is improved. The key problem that the airborne radar is difficult to realize accurate health assessment and adaptive calibration in a complex environment is effectively solved.

The invention relates to the technical field of atmospheric remote sensing, in particular to a satellite-borne laser radar-based multi-feature attention cloud top height estimation algorithm, which comprises the following steps of: full-waveform laser radar data acquisition and preprocessing: acquiring an original echo signal through a satellite-borne full-waveform laser radar system; performing time domain alignment, noise suppression and saturated signal elimination on the signals; a median filtering and wavelet threshold denoising algorithm is combined to eliminate high-frequency noise, and background radiation interference is eliminated through dynamic baseline correction; according to the method, a multi-stage noise reduction strategy combining sliding window median filtering and self-adaptive wavelet denoising is introduced in the waveform feature extraction stage, pulse interference and signal oscillation are effectively restrained, meanwhile, through a terrain matching error compensation mechanism, the detection accuracy is improved, and the detection accuracy is improved. The physical consistency of the elevation residual error under the real terrain background is enhanced, and the authenticity and the checkability of the point elevation return are improved.

The invention belongs to the technical field of antenna engineering, and particularly relates to an ultra-wide-band low-profile phased-array antenna, which realizes broadband impedance matching characteristics and effectively expands the working bandwidth of the antenna by optimizing a dipole arm structure and introducing a matching branch knot and linear tapered slot composite structure on a radiation unit layer; on the array architecture level, an electromagnetic metasurface technology is adopted, array current distribution is improved through a periodic artificial electromagnetic structure, the active standing-wave ratio is remarkably reduced, the scanning angle of an array is widened, and meanwhile high compression of a system profile is achieved; on the structural design level, a three-dimensional composite structure of a transverse metal floor, a longitudinal radiation layer and a transverse metasurface layer is innovatively constructed, and the overall section height is reduced to 0.137 lambda Low (lambda Low is the lowest working frequency wavelength) through electromagnetic coupling and space folding technologies; in conclusion, the ultra wide band (the relative bandwidth is greater than or equal to 90%) and the low profile (lt; and the method is suitable for a new generation of broadband phased array radar system.

Aspects presented herein may improve joint communication-radar system by providing a radar reference signal with GI-FMCW waveform. Aspects presented herein may be compatible with communication-centric waveforms and thereby may apply to UEs or network entities with minimal changes if specified. In one aspect, a wireless device transmits a set of communication signals. The wireless device configure one or more parameters associated with a set of radar reference signals for radar sensing based on the set of communication signals, each radar reference signal in the set of radar reference signals including a guard interval. The wireless device transmits the set of radar reference signals associated with the one or more parameters.

The invention discloses a radar deception jamming identification method based on adversarial game optimization. The method comprises the following steps: S1, acquiring radar echo signal data; s2, obtaining preprocessed radar echo signal data; s3, constructing an adaptive risk game model between the radar and deception jamming based on the preprocessed radar echo signal data; s4, training a deep learning recognition network by using the preprocessed radar echo signal data; s5, introducing a reinforcement learning module, and integrating the deep learning recognition network and the adaptive risk game model; and S6, the optimized radar identification strategy is applied to processing of real-time radar echo signal data, deception jamming signals are identified and classified in real time, and corresponding identification results are output. According to the method, the radar system can effectively avoid a high-risk strategy, so that the uncertainty in combat decisions is reduced.

An example method for using antenna array calibration to adjust radar unit operation involves receiving radar data from a radar unit coupled to a vehicle during vehicle operation in an environment, where the radar unit receives the radar data from the environment via an antenna array of the radar unit. The method also involves detecting an object in the environment based on the radar data, determining that the detected object satisfies a set of conditions, and, in response to the set of conditions being satisfied, estimating a first phase array offset for the antenna array. The method also involves comparing the first phase array offset with a second phase array offset that represents a prior calibration for the radar unit, and, based on a difference between the first and second phase array offsets exceeding a threshold difference, adjusting operation of the radar unit according to the first phase array offset.

The present application belongs to the technical field of wireless communications and radar systems. Disclosed are a dual-band fusion and multiplexing frequency source, chips, a radio-frequency transceiver, a system, and a device. The system comprises: a full-function millimeter-wave CMOS 4+1 phased array chip, which is connected to an antenna end, and is used for realizing signal processing and frequency conversion between a millimeter-wave signal and a C-band intermediate-frequency signal, performing phase control and gain adjustment on the millimeter-wave signal, and providing an internal frequency source and a calibration function; a C-band front end, which is connected to the antenna end, and is used for receiving or transmitting a C-band signal; a C-band / intermediate-frequency transceiver multiplexing chip, which is used for performing frequency conversion between a C-band or intermediate-frequency signal and a baseband signal in a multiplexing manner, and performing signal processing and gain control on the C-band intermediate-frequency signal; a dual-band fusion and multiplexing frequency source, which is used for providing a local oscillator signal; and an all-digital control logic circuit, which is used for providing a control instruction. The present application improves the efficiency and performance of dual-band joint communications.

A drone system includes a headquarter station and one or more drone port stations. Each drone port station includes a platform configured to receive a drone, a radar system configured to detect and identify the drone, and one or more locker clips disposed on the platform, wherein the one or more locker clips are configured to lock onto one or more legs extending from the drone. Each drone port station also includes an internal computer configured to control operations of the drone port station, an internal camera operatively connected to the internal computer, where the internal camera is configured to detect a charging port or a fuel tank of the drone, a glass panel placed on the platform, where the glass panel is configured to protect the internal camera, and an antenna extending from the platform and configured to provide a communications pathway from the drone port station to the headquarter station.

Enhanced human interface lighting for autonomous machines is described. In one or more implementations, a system includes perception sensor devices (e.g., camera systems, radar systems, lidar systems) to obtain environmental condition information for the environment around a vehicle. A vehicle control system controls the brightness or wavelength characteristics for one or more exterior lights of the vehicle based on the environmental condition information. In this way, the system improves driver and passenger safety, enhances the experience and safety of humans interacting with the vehicle, and improves the perception characteristics of the perception sensor devices.

A system comprises a light source, a radar transmitter, a light receiver, a radar receiver, and a processor. The light source is configured to emit a light pulse. The radar transmitter is configured to transmit a radar signal, wherein an emission direction of the light pulse of the light source and a transmission direction of the radar signal of the radar transmitter are at least in part synchronized. The light receiver is configured to detect a reflected light pulse, the radar receiver is configured to detect a reflected radar signal, and the processor is configured to determine a dimensional representation of an environment based at least in part on the detected reflected light pulse and the detected reflected radar signal.

A radar system and control method thereof is disclosed. The radar system comprises a plurality of radar units, each comprising: one or more radio frequency (RF) channels configured to receive a reflected signal and then generate an analog input signal according to the reflected signal; and a processing module connected with all the RF channels and configured to sample the analog input signal to obtain a digital signal and perform the first digital signal processing on the digital signal to obtain intermediate data, wherein when the plurality of radar units work jointly, a designated radar unit performs the second digital signal processing on the plurality of intermediate data provided by the plurality of radar units, thereby obtaining result data of the radar system.

The invention discloses an airborne radar system and method oriented to a signal transmitting device, and belongs to the technical field of airborne radar signal processing. Received radar task instructions are analyzed, target characteristic parameters, environment constraint conditions and performance indexes are extracted, and mapping relations between task requirements and transmitting waveforms, power and time sequence parameters are established; based on the mapping relation, the transmitting device resources are modeled into a power, frequency spectrum and time sequence three-dimensional state space, and the resource margin and the conflict risk are monitored and predicted in real time; matching a current task situation with a historical strategy library in combination with a resource state, and selecting a historical strategy with the highest similarity as a basic launching scheme; optimizing a resource allocation demand of the basic scheme according to a time sequence and a priority sequence, and introducing a resource buffer mechanism and dynamic priority adjustment to solve a multi-task resource conflict; based on real-time environment data, a basic scheme is decomposed into independently adjustable strategy units, and after optimization and recombination, a transmitting strategy adaptive to a specific scene is generated.

The present invention relates to an ultra-wideband (UWB) radar sensor chip system architecture. The chip system architecture at least comprises N receiving channels and N transmitting channels, wherein N is a positive integer greater than 1, the N receiving channels form receiving links by means of connecting to a receiver multiplexer, the N transmitting channels form transmitting links by means of connecting to a transmitter multiplexer, and the receiving links and the transmitting links jointly form N groups of transceiving systems. The chip system architecture further comprises a serial peripheral interface, and is adjacent to an external main control chip by means of the serial peripheral interface, so as to drive, by means of a control command, the N groups of transceiving systems to operate on the basis of time division or to operate independently. The present invention introduces the concepts of time division multiplexing and multi-channel synthesis into a radar system, and provides a universal UWB radar sensor chip system architecture with a high integration level, a high performance and a low cost, thereby effectively solving the problems of a radar chip in terms of the sensitivity and transmitting power, improving the detection precision and increasing the detection distance.

The invention relates to the technical field of radar waveform optimization, in particular to a synthetic broadband waveform optimization method based on reinforcement learning. According to the method, a deep reinforcement learning framework is adopted, and end-to-end optimization is carried out on the center frequency and amplitude parameters of multiple sub-pulses. The method comprises the following steps: constructing a synthetic broadband waveform signal model, and parameterizing sub-waveforms to determine a search space of an optimization problem; converting a waveform optimization problem into a reinforcement learning form, and defining a state space, an action space, a reward function and a state transition mechanism; based on a deterministic soft action value iteration strategy algorithm, point spread function features are extracted in combination with a Transform encoder, and sub-pulse parameters are dynamically adjusted. Through the method, the main lobe resolution can be effectively suppressed and improved, the target detection performance of a radar system is improved, and the method has good global optimization capability and environmental adaptability and is suitable for cognitive radar and adaptive waveform design scenes.

The invention provides a three-dimensional positioning method and system for a satellite-borne multi-base radar system based on weighted linear iteration, and the method comprises the steps: obtaining radar echo data of a plurality of receivers, carrying out the effective detection of a target, and carrying out the searching of a pitch angle and a space taper angle of a target signal through a two-dimensional adaptive filtering technology, obtaining two-dimensional angle estimation information of the target at different bases and different visual angles; constructing a nonlinear equation set according to two-dimensional angle information and slope distance information of the target under different visual angles, and performing first-order Taylor expansion on the nonlinear equation set to obtain a corresponding linear overdetermined equation set; and forming a precision matrix according to the known measurement precision of the radar system, and carrying out normalization operation and iterative solution on the linear overdetermined equation to obtain the three-dimensional coordinate of the target in the earth-centered earth-fixed coordinate system, thereby obtaining the latitude, longitude and height information of the target, and realizing the high-precision three-dimensional positioning of the multi-static radar system.

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.

A radar system configured to compensate for a carrier characteristic offset includes a transmitter that transmits a code signal based on a transmitter carrier characteristic and a receiver that receives an echo of the code signal based on a receiver carrier characteristic. Additionally, the radar system includes a control unit that identifies a tracking path between the transmitter and the receiver that is at least partially independent from the path of the code signal and the echo of the code signal. Using an index of the tracking path, the code unit estimates a carrier characteristic offset between the transmitter and the receiver and then compensates for this estimated carrier characteristic offset.

The invention relates to the technical field of target distance detection and 3D scanning reconstruction, and discloses a coaxial scanning type ultra-long distance detection laser radar system, which comprises a laser light source module, which adopts a 1550nm optical fiber laser to output high-power laser, and ensures sufficient laser energy and human eye safety; according to the invention, by adopting the high-power 1550nm fiber laser, the ultra-long distance detection is realized on the premise of ensuring the safety of human eyes, and the detection range of more than 10km can be reached, so that the limitation that the detection distance of the traditional laser radar is only 500m is broken; according to the invention, by selecting the 1550nm laser device which is safer to human eyes and greatly improving the laser power to kilowatt and even myriawatt levels, stronger echo signals are realized, so that the detection signal-to-noise ratio is remarkably improved; the micro-lens array is adopted to replace a traditional DOE diffractive optical element, efficient beam shaping of a one-dimensional or two-dimensional dot matrix is achieved through flexible regulation and control of the curvature radius and the distance of the micro-lenses, meanwhile, the manufacturing cost is reduced, and the design freedom degree is expanded.

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

The invention discloses an acousto-optic radar wind measurement data correction system based on adaptive noise suppression, and relates to the technical field of data correction. Environmental parameters and acousto-optic radar system parameters are combined through a dynamic adjustment module to dynamically adjust a signal-to-noise ratio threshold; the echo signal quality analysis module inputs the frequency spectrum characteristic data and the dynamically adjusted signal-to-noise ratio threshold value into an echo quality model and judges whether the current echo signal is valid or not, if yes, interpolation is carried out by adopting a spatial smooth interpolation method, if yes, the dominant frequency of the echo signal is extracted, Doppler frequency shift is calculated, and according to the detection angle and the laying direction, the Doppler frequency shift is calculated; and calculating a radial wind speed, inverting a three-dimensional wind speed vector and carrying out physical consistency correction. According to the correction system, the dynamic adjustment module is introduced, real-time environment parameters and system operation parameters are combined, and a signal-to-noise ratio threshold value required by judgment is dynamically adjusted, so that a judgment basis can be intelligently self-adapted along with a measurement environment, and the accuracy and robustness of echo signal quality judgment are remarkably improved.

A radar system comprises a physical radar array including a plurality of physical transmit antennas, each configured to transmit a respective signal having a wavelength λ. The physical radar array further comprises a plurality of physical receive antennas, each configured to receive each of the respective transmitted signals. At least one of the plurality of physical receive antennas is positioned at a different elevation than the other receive antennas. In some embodiments at least one of the plurality of physical transmit antennas is positioned at a different elevation than the other transmit antennas. In some embodiments the radar system further comprises a neural network arranged to receive data from the physical radar array and to generate or update data for one or more missing virtual antennas, generate a new fraction of the virtual antennas, generate the full set of virtual antennas, or directly generate the processed data.

The invention discloses a cognitive interference decision-making method based on deep reinforcement learning and an application system of the cognitive interference decision-making method, which are suitable for an interference unmanned aerial vehicle to complete an intelligent interference decision-making task when resisting a networking radar system in a complex and changeable electromagnetic environment. In order to improve the performance of an existing interference decision-making system in the aspects of sample efficiency and strategy stability, the interference decision-making algorithm DAR-PPO comprises two major innovation modules: one module is a KTD-Clip module which constructs a feedback signal based on experience KL divergence and dynamically adjusts a clipping threshold value in strategy updating so as to control the strategy updating step length, so that the strategy updating step length is always in a stable and effective trustworthiness region; the adaptive capacity of the algorithm to environment change is obviously improved; the second module is an RA-IS module, effective reuse of historical interaction samples is achieved by constructing a trajectory playback pool and introducing clipping importance sampling, meanwhile, a weight entropy regularization mechanism is designed, strategy fluctuation caused by abnormal weights is restrained, and therefore the training sample utilization rate is remarkably increased, and the algorithm robustness is enhanced.

The invention relates to the field of radar detection methods, and discloses a microwave photon multiband radar detection method, which comprises the following steps: generating detection signals of multiple bands based on a microwave photon method, transmitting the detection signals to a target, and then carrying out dechirp processing and digital signal processing on target reflection signals to obtain a target detection result. The method specifically comprises the following steps: generating a fundamental frequency signal through a user-defined bit sequence generator, a pulse generator and an electric frequency modulator, adjusting the central wavelength and bandwidth of a signal waveform by the electric frequency modulator, amplifying the power of the fundamental frequency signal by a certain multiple through an electric power amplifier, and modulating by a distributed feedback semiconductor laser, a plurality of sidebands with equivalent power are generated by the spectrum of the optical fiber, a modulated fundamental frequency signal is input into the photoelectric detector through the optical fiber, and then the modulated fundamental frequency signal is amplified by the electric low noise amplifier to generate a multi-band frequency modulation signal. And the multifunctional detection capability of the radar system can be realized.

A system including a radar system. The radar system may include a transmit antenna, a receive antenna, and a controller. The controller may be configured to: determine or obtain information indicative of at least one of a phase of flight or an environmental condition; determine or obtain information indicative of a mission associated with the determined phase of flight and / or environmental condition; and based at least on the determined mission and the determined phase of flight and / or the environmental condition, tune radar parameters of the radar system to values to fulfill the determined mission associated with the determined phase of flight and / or environmental condition. The radar system may be reprogrammable by tuning the radar parameters to operate over any of a collection of phases of flight, any of a collection of environmental conditions, and any of a collection of missions.

According to one embodiment, a radar system for inspecting a target, includes transmit antennas, receive antennas, and a processing unit. The processing unit is configured to select at least one transmit antenna among the transmit antennas and at least one receive antennas among the receive antennas, based on a shape of the target, make the at least one transmit antenna transmit an electromagnetic wave, and make the at least one receive antenna receive the electromagnetic wave.

The invention belongs to the technical field of laser radars, and discloses a water surface reflected light suppression method and system in laser radar water level measurement, and the method comprises the steps: employing a multispectral fusion and dynamic polarization modulation technology, precisely filtering the interference of water surface reflected light, matching with a time-frequency domain combined filtering algorithm, and deeply analyzing signal features. An intelligent environment sensing mechanism monitors environment changes in real time, a machine learning model accurately predicts the trend of reflected light, system parameters such as laser transmitting power and receiving end gain are adjusted in advance, measurement errors are reduced, the water level measurement precision of the laser radar is greatly improved, and the water level measurement precision of the laser radar is greatly improved. The system reliability and stability are remarkably enhanced, the scheme is excellent in performance under severe conditions such as strong light by means of the capability of dynamically adapting to complex environment changes, the modular design of the system facilitates integration with an existing laser radar system, expansibility and compatibility are good, and the system can quickly adapt to equipment of different specifications and models.