2857 results about "Radar systems" patented technology

The invention relates to the technical field of radar control, in particular to an anti-interference control method applied to a radar, and aims to solve the problem that an existing radar anti-interference technology is insufficient in anti-interference capability in a complex electromagnetic environment. According to the method, multi-dimensional input data of a radar system are synchronously collected, interference feature extraction is performed on multi-dimensional data streams by using a dual-channel deep network, and interference fingerprint vectors are output to a dynamic feature library in real time. And based on the interference feature priority list, performing cooperative processing, including spatial filtering, frequency domain notch, polarization projection and residual extraction and sparse reconstruction of a target signal. And dynamically adjusting the processing parameters according to the real-time evaluation result. And data distribution processing is carried out on the suppressing interference and the deception interference, and final target trajectory information is output through result fusion. Parallel processing is also realized on the FPGA chip, and the processing speed is improved. On the whole, the anti-interference capability, the stability and the real-time performance of the radar system in a complex electromagnetic environment are improved.

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.

The invention discloses a networking X-band weather radar cooperative adaptive control method, and relates to the technical field of weather radars. The problems that in the prior art, real-time state data and historical data cannot be fully utilized to construct an accurate radar performance model, and deep analysis on environment characteristics is lacked when control parameters are dynamically adjusted are solved. According to the method, the operation state and historical data of the radar system are collected and analyzed, the radar performance model is established, and the control parameters are dynamically optimized, so that the observation performance and the resource utilization efficiency of the radar system are remarkably improved, state information sharing and cooperative adjustment among the radar systems are realized based on a cooperative control mechanism of a communication link, and the reliability of the system is improved. The adaptability and reliability of the system are effectively enhanced, main factors influencing the system performance can be identified by constructing an intelligent performance evaluation module, model parameters are dynamically adjusted, constraint conditions are optimized, and long-term efficient operation of the radar network under complex environmental conditions is ensured.

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 belongs to the technical field of wind power generation, and discloses a wind power plant digital twin modeling system and a use method, the system comprises an equipment module, the equipment module comprises a biological bionic adaptive fan blade system, a quantum sensing network, a laser radar system, a high-resolution multi-modal imaging system and an intelligent autonomous flying robot group system; the network module comprises a 5G private network, a quantum communication network and an edge computing network; the data module comprises a distributed database system, a big data processing platform and an AI training platform; the AI module comprises a wind regime prediction model, a power prediction model, an equipment health state monitoring model and a self-adaptive control algorithm model; the application module comprises a digital twinborn visualization platform, a holographic mixed reality operation and maintenance system and an intelligent scheduling system. Modeling and intelligent management of the wind power plant can be realized, the power generation efficiency can be improved, the operation and maintenance cost can be reduced, and the service life of equipment can be prolonged.

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.

The invention relates to the technical field of radar, and discloses a three-dimensional positioning life detection radar system, and the radar system comprises a phased array antenna unit which is used for transmitting radar waves and dynamically adjusting the wave beam direction according to the target position; the signal receiving unit is used for receiving a radar signal reflected by a target; the Doppler frequency shift analysis module is used for analyzing the frequency change of the received radar signal and extracting a micro-motion signal of the target; the target motion analysis module is used for tracking the motion of the target through a Kalman filtering technology; the three-dimensional reconstruction module is used for reconstructing the three-dimensional position of the target through an electromagnetic field integral equation and multi-source sensor information fusion according to the received signals; and the deep learning module is used for identifying the micro-motion signal and optimizing target classification. By adopting the phased-array antenna unit and the beam forming technology, the technical effects of carrying out accurate three-dimensional scanning and rapid dynamic beam adjustment on the target are achieved.

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.

The invention relates to the field of radar systems, in particular to directional drilling radar equipment, which comprises a transmitting unit provided with an angle-adjustable array antenna and capable of transmitting radar waves in any direction to realize directional coverage of a target area; the receiving unit adopts a multi-angle receiving array antenna and is combined with a signal filtering technology, so that the receiving sensitivity and accuracy of weak signals can be effectively improved; the positioning unit is provided with a high-precision inertial navigation system and a depth sensor, and accurate positioning and posture correction of equipment in a drill hole are ensured; the transmitting unit supports a high-frequency working mode and a low-frequency working mode which are respectively used for shallow high-resolution imaging and deep high-penetration detection. The invention provides directional drilling radar equipment and a detection method thereof, which are used for solving the defects of control host performance and directional drilling radar technology in the aspect of imaging technology in the prior art.

The invention, which relates to the technical field of the radar system, discloses a swash plate machine phase-sweeping radan installation angle adaptive correction method comprising the following steps: acquiring three-axis attitude angle data of an installation reference surface, and synchronously acquiring azimuth angle rotation data of a radar antenna; based on the three-axis attitude angle data of the installation reference surface, establishing a coordinate transformation matrix from a radar antenna coordinate system to an inertial coordinate system, and mapping the three-axis attitude angle data of the installation reference surface to the inertial coordinate system; obtaining a beam scanning conical surface deviation angle according to the coordinate transformation matrix and azimuth angle rotation data of the radar antenna; generating antenna attitude correction according to the beam scanning conical surface deviation angle; and inputting the antenna attitude correction quantity into an antenna driving controller, adjusting the attitude of two axes of pitching and orientation of the antenna, and compensating the beam scanning conical surface deviation. According to the method, the precise coordinate transformation matrix and the angle difference compensation model are established, and the inertial measurement unit and a closed-loop feedback control mechanism are combined, so that the self-adaptive real-time correction of the mounting angle is realized.

The invention relates to the technical field of radars, and particularly discloses a self-adaptive radar system and algorithm optimization method suitable for a complex multipath environment, and the system comprises a signal sensing module, a multipath analysis module, an antenna control module, a data processing module, a target detection module, an intelligent decision module, a system monitoring module, a communication transmission module, and a man-machine interaction module. According to the adaptive radar system suitable for the complex multipath environment and the algorithm optimization method, the multipath anti-interference capability of the radar system is remarkably improved, interference of multipath signals on the radar system is effectively reduced through innovative system architecture design, adaptive antenna design and an advanced data processing algorithm, and the system performance is improved. In addition, due to the self-adaptability and the real-time processing capability of the system, the system can quickly adapt to different multi-path environments, and stable operation in various complex scenes is ensured.

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.

The invention discloses a light-weight wind measurement laser radar system based on an unmanned aerial vehicle platform. The light-weight wind measurement laser radar system comprises a servo scanning unit, a radar measurement unit and a system hanging frame, the radar measurement unit adopts a lightweight main body frame, and adopts various lightweight materials in structural design; the internal space of the radar measurement unit is divided into a plurality of different subareas, the plurality of different subareas are arranged in a stacked mode, and the aspects of hardware scheme, composition, stacking mode and the like are redesigned. Hardware and a structure are deeply fused, so that the system has obvious advantages in size and weight, miniaturization and light weight are realized, and the weight index of the radar system reaches a 5-7kg level. Wherein the servo scanning unit further comprises a two-degree-of-freedom scanning servo device which enables the system to realize three-dimensional scanning in a large range, various scanning modes such as PPI, VAD and RHI are realized, and the tail end direction of the servo scanning unit is adjusted according to the current attitude information of the unmanned aerial vehicle platform while scanning is performed; and the influence caused by the attitude change of the unmanned aerial vehicle platform is compensated.

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 specifically relates to a radar system for realizing communication and inductance integration, and the system comprises a field programmable gate array signal processing assembly which is used for generating an initial local oscillation signal and a customized initial emission waveform according to a control instruction of an upper computer, and outputting the initial emission waveform to an emission assembly, outputting the initial local oscillation signal to a local oscillation system component; the transmitting component is used for modulating a self-defined initial transmitting waveform, then generating a target transmitting signal and transmitting the target transmitting signal; the receiving component is used for receiving the reflected signal and modulating the reflected signal; the local oscillation system component is used for performing frequency conversion processing on the initial local oscillation signal and outputting a first LO signal subjected to up-conversion processing to the transmitting component, so that the transmitting component modulates the first LO signal and a customized initial transmitting waveform; and outputting the second LO signal subjected to down-conversion processing to a receiving component, so that the receiving component modulates the second LO signal and the reflected signal.

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.

The invention relates to a glacier ice reserve estimation method based on a flight type ice measuring radar. The method comprises the following steps: acquiring a large-range terrain of a glacier; emitting microwaves for measuring the ice thickness in the glacier boundary; receiving echoes for measuring the ice thickness in the glacier boundary; positioning the acquired microwave signals in real time; processing ice thickness data; and estimating the glacier reserves. In order to improve the glacier detection accuracy, the core equipment glacier thickness measuring radar has centimeter-level ice layer distinguishing capability and five hundred-meter-level ice thickness penetrating capability, has the characteristics of light weight, miniaturization, high reliability and the like, is suitable for high-cold and high-altitude conditions, and is suitable for being carried by an unmanned aerial vehicle platform. Through the ultra-wideband high-stability low-phase noise signal generation technology, the weak echo signal receiving technology, the ultra-wideband antenna technology and the like, the thickness measuring radar system has the effects of light weight, miniaturization, high reliability and the like. The unmanned aerial vehicle is suitable for climatic conditions such as high glacier altitude and thin air, the defect that manual arrival or pull-type measurement must be relied on is overcome, and the testing efficiency is improved.