1583 results about "Radar systems" patented technology

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 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 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 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 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.

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 discloses a joint coherent processing method for strong and weak targets of a distributed networking radar, and aims to solve the problem of poor coherent effect caused by low parameter estimation precision of an existing coherent processing method adopted by a distributed networking radar system. A coherent parameter estimation problem is converted into a cosine similarity maximization problem, so that decoherence introduced by radar splitting is compensated, a'strong target-weak target 'interactive optimization criterion is constructed, a coherent parameter roughly estimated by a strong target is utilized to compensate the phase of a weak target signal, and the phase of the weak target signal is optimized. And the signal phase is fed back and adjusted by using the synthesis effect of the weak target, so that relatively accurate parameter estimation under the condition of a low signal-to-noise ratio is realized, coherent synthesis of distance-Doppler domain signals is completed, and the detection capability of a distributed networking radar system is improved.

The invention provides a method for testing the communication bandwidth of a 10-gigabit network between an FPGA (Field Programmable Gate Array) and a CPU (Central Processing Unit), which is applied to a radar system. The FPGA completes a function of regularly generating data and a function of downlink transmission of the data; the 10-gigabit network exchange board card completes data transmission and sends data to the CPU board card through a 10-gigabit network; and the CPU board card receives the data and calculates the communication bandwidth and the network quality. According to the invention, the limitation of traditional single-port point-to-point transmission or simple multi-port parallel transmission on synchronization, load balancing or protocol overhead is solved, and a solution is provided for how to effectively utilize multiple ports, enable the multiple ports to simultaneously and efficiently work and ensure parallel transmission of data without mutual interference.

A method for operating a radar system (210) in a vehicle (201), the method including establishing a wireless communication link (245) to a radio base station (250) in a wireless communication network (260), requesting a time-frequency resource (420, 430) for communicating with a network node (270) via the radio base station (250), receiving a transmission grant from the radio base station (250) for communicating with the network node (270) using the time-frequency resource (420, 430), transmitting a communications signal (245) in the time-frequency resource, and transmitting a radar signal (235) in the time-frequency resource.

A system for millimeter RADAR object recognition and classification using sub-band frequency interference and resonance effects from primary targets signals and reflected signals from secondary target preferably in the form of Wideband Chaos Generating Material (WCGM) objects, preferably detecting frequency dependent absorbing material, frequency dependent resonance effects from the second and primary target objects, frequency signal resonance effects caused by water molecule dipole effects in different sugar solutions, impedance of material, shape of metamaterial, and interference effects due to combination of signal sources resulting in a wider range of transmitter and scanning frequency band for RADAR based interrogation of target objects. The RADAR system makes opportunistic use of traditionally seen problematic interference signals, as extra signal sources providing extended range and frequency bandwidth for frequency-based interrogation of target object signatures in a frequency-intensity plane, a frequency-polarization plane, and a frequency-phase shift plane for doppler effects.

The invention relates to the technical field of laser radars, in particular to a laser radar near-field saturation suppression method and device based on signal splicing. The method comprises the following steps: transmitting a pulse laser beam and receiving a scattering echo signal, dividing the echo signal into a transmission light signal and a reflection light signal through an intensity beam splitter prism, and respectively obtaining a far-field channel photon profile and a near-field channel photon profile through the transmission light signal and the reflection light signal; fusing and splicing the far-field channel photon profile and the near-field channel photon profile to obtain a corrected distance square signal profile; and performing atmospheric detection by using a laser radar system, and inverting atmospheric parameters by correcting a distance square signal profile. Meanwhile, the invention discloses a device for executing the method, by adopting the laser radar near-field saturation suppression method and device based on signal splicing, the problem of near-field signal saturation of a high-power laser radar can be effectively solved, and the overall performance index of the laser radar is greatly improved while the detection precision is guaranteed.

The invention provides a target positioning method and system based on a distributed networking radar system, and belongs to the technical field of radars, and the method comprises the steps: controlling a plurality of radar nodes to transmit stepping linear frequency modulation continuous wave pulse signals, and collecting target echoes; carrying out band-pass filtering, pulse compression and fast time synchronization processing on the echoes, and generating interference-free data through a moving target extraction algorithm; realizing cross-node clock synchronization based on a moving target behavior cognition model and a template matching algorithm; constructing a multi-node distance estimation equation set, generating an accurate distance value through calibration broadband synthesis and FFT, and determining a target three-dimensional coordinate; and generating a motion track and speed prediction through Kalman filtering based on the target position sequence. The system comprises a signal emission and acquisition module, a signal processing module, a clock synchronization module, a distance estimation and coordinate fusion module and a trajectory prediction module. The method supports multi-target tracking, improves positioning precision and time synchronization precision, has few errors, and is compatible with any node deployment form.

The invention relates to the technical field of laser radars, and discloses a laser radar light source and a laser radar system. The light-emitting module is arranged on the substrate, the light-emitting module comprises a plurality of columns of lamp beads, and the lamp beads in different columns are arranged in a staggered mode in the column length direction; and the light path adjusting module comprises a plurality of adjusting lenses, and any light path adjusting lens is arranged in the light emitting direction of the corresponding column of lamp beads and is inclined to the light emitting direction, so that light beams emitted by the lamp beads in different columns are reflected to the same target column and are emitted at the same angle from the position where the target column is located. According to the invention, the resolution of the laser radar light source can be improved, and dislocation of the scanning detection result of the lamp beads in different columns on the target object can be avoided, so that distortion of the detection result after the laser returns to the receiving module of the laser radar is avoided.

The invention discloses an RF-CNN-based power transmission line tree obstacle recognition and positioning method and device and a medium, and belongs to the technical field of image processing, and the method comprises the steps: collecting data through a laser radar system and an RGB image collection device, carrying out the preprocessing of the collected data, carrying out the feature fusion through an RF-CNN model, and carrying out the recognition and positioning of a tree obstacle. And training a multi-task learning model to perform three-dimensional positioning of tree types and tree positions, performing classification through fused feature data in tree identification, identifying different types of trees, positioning the position of each tree in a three-dimensional space, calculating horizontal and vertical distances between the tree and the power transmission line, and evaluating whether the tree forms a tree obstacle risk or not. According to the method, the defects of the prior art in the aspects of tree identification, positioning precision, tree obstacle risk assessment and the like are effectively overcome, the efficiency, precision and reliability of tree obstacle monitoring are improved, and a powerful technical support is provided for intelligent inspection and safety management of a power transmission line.

The invention relates to a laser radar on-chip integrated chip based on acousto-optic modulation, an on-chip acousto-optic scanning method and a laser radar system. A plurality of groups of interdigital transducers are arranged on the lithium niobate film, two groups of chirp IDTs respectively work at a low-frequency band and a high-frequency band, and sound waves at the low-frequency band correspondingly generate a relatively large Bragg deflection angle; and the high-frequency-band sound waves correspondingly generate a relatively small Bragg deflection angle. The two groups of IDTs work cooperatively, so that two-dimensional vector scanning of a dual-frequency broadband can be realized in a chip plane; the pair of focusing IDTs can form a focusing sound field in an action area, so that the light beam subjected to two-dimensional deflection is controllably deflected in the Z direction, and the chip is endowed with the three-dimensional scanning capability. The device is high in diffraction efficiency and low in power consumption; unification of large-range search and high-precision scanning is realized; z-axis deflection is realized by integrating a special focusing type interdigital transducer, a three-dimensional scanning function is realized on a monolithic integrated acousto-optic chip, and the structure is extremely compact.

A mechanism for generating a modulation signal for use in a radar system. The modulation signal includes a sequence of chirps. Each chirp includes an active period, a transition period and an idle period. During the active period, the frequency of the chirp moves from a start frequency to an end frequency. During the transition period, the frequency of the chirp moves towards the start frequency of the next chirp. The rate of change of the frequency, during the transition period, is different for different chirps of the modulation signal.

The invention relates to the technical field of topographic survey, in particular to an InSAR earth surface deformation information detection method and system based on an unmanned aerial vehicle, and the method comprises the following steps: S1, collecting point cloud data of a mining area through a laser radar system carried by the unmanned aerial vehicle, constructing a continuous topographic curved surface, calculating a topographic gradient vector based on the curved surface, and extracting a topographic main gradient direction angle; and S2, based on the terrain gradient vector, the rock mass integrity coefficient of the mining area and the mining direction angle, constructing a physical constraint field for quantifying the terrain sudden change risk and the mining and terrain interaction effect. According to the method, a physical field capable of quantifying fault risks and types is generated by fusing unmanned aerial vehicle laser radar topographic data, a rock mass integrity coefficient and a manual mining direction; according to the method, geological information is changed into beforehand constraint from post-event interpretation, an accurate physical basis is provided for subsequent phase processing, and the situation that the deformation direction is misjudged, for example, settlement is misjudged as uplift, is prevented.

A radar system injects a calibrated current at a signal generator during a reset portion and acquisition portion of each chirp period. The signal generator employs “gear-switching” to reduce PLL bandwidth during an acquisition phase and to increase the phase lock loop (PLL) bandwidth during a reset phase. By employing gear switching to change the bandwidth of the PLL circuit during the different portions of each chirp period, the length of the reset period is reduced, thus improving overall efficiency of the radar system while maintaining good performance.

Provided are methods, systems, and computer program products for lane keep tracking and / or localization of a vehicle using a radar to detect metallic particles in paint applied to lane markings or curb markings. An example method may include: causing a radar system of a vehicle to output radio waves; receiving a radar image from the radar system corresponding to returned radio waves; determining a portion of the radar image includes lane or curb markings, wherein the lane or curb markings are embedded with metallic particles; and determining a location of the vehicle based at least in part on the determined portion of the radar image that includes the lane or curb markings.

The invention discloses a millimeter wave radar health monitoring method and system based on wearable equipment, and relates to the technical field of non-contact physiological signal monitoring, the specific steps are as follows: low-frequency life signals of a monitored object are collected based on frequency modulation continuous waves emitted by a radar system, and the low-frequency life signals are time sequence signals of multiple channels; performing wavelet packet decomposition and adaptive filtering on the low-frequency life signal to obtain a filtered signal; and inputting the filtered signal into a trained feature extraction and separation model, carrying out feature extraction and evaluation, and outputting a heartbeat signal and a respiration signal. According to the method, a strong anti-interference preprocessing process is constructed by fusing wavelet packet dynamic decomposition and a sub-band energy entropy threshold method and combining an NLMS adaptive filtering technology, motion artifacts and environmental noise can be effectively stripped, the signal-to-noise ratio of original millimeter wave radar signals is increased, and the anti-interference performance of the millimeter wave radar signals is improved. And a solid foundation is laid for subsequent accurate extraction of weak vital sign signals (respiration and heart rate).

The invention provides a programmable frequency control array radar waveform generation system and method based on an FPGA, and belongs to the technical field of radar systems and digital signal processing. In order to solve the technical problems of complex hardware system, inflexible parameter adjustment and poor multi-channel synchronism of the traditional frequency control array radar, the invention provides an integrated high-performance solution. The system adopts an FPGA (Field Programmable Gate Array) architecture of an integrated processing system (PS) and programmable logic (PL). The method comprises the following steps: a PS end receives waveform control parameters of an upper computer through a communication interface and transmits the waveform control parameters to a PL end; and a plurality of parallel direct digital frequency synthesizer (DDS) modules in the PL end synchronously generate multi-channel digital baseband signals with programmable frequency offset at high precision according to the parameters under the unified driving of the FPGA global clock network. And the digital signal is subjected to digital-to-analog conversion and radio frequency front-end processing to finally form a transmitting wave beam. According to the invention, flexible programmability of parameters is realized by utilizing a PS-PL collaborative architecture, the synchronization precision of multi-channel signals is remarkably improved through a global clock network and a parallel DDS module generated in the FPGA, and meanwhile, the system has the advantages of high integration level and low complexity.

The invention discloses a multi-target tracking and multi-constraint resource allocation method in an all-digital array radar system. The method comprises the following steps: constructing a radar multi-target tracking and multi-constraint resource allocation optimization model; at the current tracking moment, predicting the state of each to-be-tracked target, calculating the expected detection probability of each to-be-tracked target and forming a set; judging whether the set meets a constraint condition in the optimization model or not, and if not, increasing the stop time and updating the set until the set meets the constraint condition; selecting beam data of two targets with the lowest detection probability and the second lowest detection probability in the set, and performing filtering and prediction; and repeating the steps until the current moment reaches the radar tracking set time, and outputting the prediction states of all tracked targets at each tracking moment. According to the invention, the all-digital array radar system can consume minimum radar resources while ensuring the target tracking precision.

A radar device may generate an integrated range-velocity map by combining data from a plurality of range-velocity maps. Each range-velocity map may be associated with a respective radar channel from a plurality of radar channels. The radar device may identify a first peak in the integrated range-velocity map. The first peak may indicate one or more radar targets in the integrated range-velocity map and being identified by a first bin having a first range-velocity bin index. The radar device may determine a first data set by extracting, from each range-velocity map, data that is included in a respective bin associated with the first range-velocity bin index. The radar device may process the first data set to determine a first set of phase imbalances associated with the plurality of radar channels.

The invention discloses a radar system clutter background modeling and adaptive suppression method and system, and relates to the technical field of radar signal target detection. The radar system clutter background modeling and adaptive suppression method comprises the following steps of covariance matrix construction, clutter model construction, clutter adaptive suppression and adaptive suppression processing optimization. According to the method, covariance matrix stability evaluation is carried out through the constructed covariance matrix, whether covariance matrix correction is carried out is judged, then the initial clutter model is established according to the covariance matrix and the preset probability distribution model, then clutter model adaptability evaluation is carried out, whether clutter model optimization is carried out is judged, and clutter model optimization is carried out. According to the method, the radar signal is subjected to self-adaptive suppression processing, and finally the judgment result of self-adaptive suppression processing optimization is obtained based on the signal-to-noise ratio of the radar signal after self-adaptive suppression processing, so that the clutter suppression effect in the radar signal is improved, and the problem of poor clutter suppression effect in the radar signal in the prior art is solved.

The invention discloses a dynamic filtering and beamforming method for improving the anti-interference capability of a secondary radar. The method comprises the following steps: initializing original data; periodically monitoring the interference congestion degree of the downlink response signal of the secondary radar system in the current radio environment, and judging the interference intensity; dynamically adjusting the transmitting power and the PRF of an uplink interrogation signal of the secondary radar system; notifying the air target responder to reduce the sending rate and the transmitting power of a downlink response signal through the downlink control instruction; the general orientation of the interference source is determined in combination with external monitoring information, adaptive beamforming is performed based on the array antenna, and null is formed in the general direction of the interference source to realize interference suppression of a spatial domain; and performing dynamic filtering processing on the receiving signal after beam forming processing, extracting an effective target response signal sequence, and reconstructing the effective target response signal sequence into complete target response information data according to a predetermined protocol format. According to the invention, the accuracy and reliability of target signal detection and the anti-interference performance of the system are improved.

The invention relates to a rock migration monitoring point extraction method under loess plateau terrain, and belongs to the technical field of unmanned aerial vehicle measurement. The method for extracting the rock migration monitoring points under the loess plateau terrain comprises the following steps that a first target is arranged in a measurement area, and the first target and the rock migration monitoring points are correspondingly arranged; obtaining point cloud data of a plurality of first targets by utilizing mutual cooperation of a laser radar system and the first targets so as to form an original data set C1; performing primary processing on the original data set C1 to form an intermediate data set C2; fitting the point cloud data of the intermediate data set C2 by adopting a least square method to obtain a space plane M; calculating the distance from each point cloud data in the intermediate data set C2 to the space plane M, removing the point cloud data of which the distance from the point cloud data to the space plane M exceeds an error range from the intermediate data set C2, and forming a final data set C21 by the residual point cloud data in the intermediate data set C2; performing clustering analysis on the final data set C21 to obtain edge points of the final data set C21, and fitting the edge points to obtain a space sphere S with the maximum diameter; and acquiring the center of the space sphere, namely the center of the first target, according to the space plane M and the space sphere S.

The invention discloses a bridge dynamic deflection monitoring method and system based on a 4D millimeter wave radar, and the method comprises the steps: actively detecting the precise distance between a target object at a specific position of a bridge and the device through 4D millimeter wave radar equipment, and building a coordinate system through the combination of a spatial position and the positions of a plurality of radar equipment in a radar system; according to the method, the spatial position coordinates of a target object are measured and solved, the spatial position coordinates of the target object in a set time period are measured, so that offset degree data of a specific position in the set time period are calculated, and continuous and stable dynamic deflection data recording of the specific position in the set time period is completed through fitting of a data curve. The defects of high construction complexity, high difficulty in long-time monitoring and difficulty in long-distance monitoring in a traditional bridge detection mode are overcome.

The utility model relates to a radar system for simultaneously detecting visibility and a wind field, and the system comprises a laser emission unit which is used for emitting laser with a first wavelength and laser with a second wavelength to the atmosphere; the optical receiving unit is used for receiving a first wavelength laser echo signal and a second wavelength laser echo signal which are scattered by the atmosphere and contain atmosphere information; the detector is used for respectively converting the first wavelength laser echo signal and the second wavelength laser echo signal received by the optical receiving unit into a first electric signal and a second electric signal; the data acquisition module is used for acquiring a first electric signal and a second electric signal of the detector; and the upper computer is connected with the laser emission unit and the data acquisition module. According to the utility model, two atmospheric elements of visibility and an atmospheric wind field can be monitored simultaneously and synchronously.

The invention discloses a dual-polarization one-dimensional scanning phased-array antenna and a weather radar system, the antenna comprises a radiation layer, a first feed layer, a first PCB layer, a second feed layer, a second PCB layer and a third feed layer which are stacked from top to bottom, and a horizontal polarization radiation unit and a vertical polarization radiation unit of the radiation layer are arranged in an orthogonally staggered manner; each first feeder is etched on the top surface of the first PCB layer and corresponds to a first metal groove formed in the bottom of the first feed layer and a second metal groove formed in the top of the second feed layer in position; and each second feed line etched on the top surface of the second PCB layer corresponds to the position of a third metal groove formed in the bottom of the second feed layer and the position of a fourth metal groove formed in the top of the third feed layer. According to the invention, high cross polarization isolation is realized, and the antenna has dual polarization beams with low side lobes and consistent beam width and pointing height in the whole working frequency band.