128 results about "Impulse radar" patented technology

The invention discloses a multi-wave-potential pulse radar target detection method and device based on deep learning and a medium, and the method comprises the steps: obtaining radar original echo data in different detection scenes, and forming a radar original echo data set; training the target detection network by using the radar original echo data set to obtain a target detection model; in an input preprocessing layer of the target detection network, a real part and an imaginary part of radar original echo data are separated, linear layer networks with different weight matrixes are used for carrying out feature mapping on the real part and the imaginary part of different wave position data, the features of the real part and the imaginary part are calculated, then the phase spectrum features are calculated, and a multi-dimensional feature map is formed; training a target detection network by using the echo data set; and obtaining echo data to be detected, and inputting the echo data to the target detection model for detection. According to the method, high-precision and low-calculation-overhead target detection can be realized in a complex scene, and meanwhile, the detection performance and robustness are remarkably improved.

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.

Monitoring object movement comprises attaching an ultra-wide band (UWB) sensor to an object and transmitting, by the UWB sensor in a radar mode, a plurality of UWB pulses. The UWB sensor in the radar mode receives a plurality of reflected UWB pulses and determines over a time a channel response (CIR) based on the plurality of transmitted and reflected UWB pulses. The CIR is indicative of the object movement.

The invention discloses a single-photon laser ranging method based on laser pulse frequency modulation deblurring, and belongs to the field of laser ranging. In the ranging process, two different pulse frequency references are firstly set to correspond to two coding code elements respectively, n-bit random codes are generated according to n-time non-fuzzy distance expansion requirements, it is guaranteed that the n-bit random codes do not have displacement symmetry, then a laser source is made to repeatedly emit corresponding pulse signals according to a sequence represented by the random codes, then echo signal sequences are received, and the pulse frequency references correspond to the two coding code elements respectively. And performing cross-correlation operation on the single photon accumulation histogram and a pulse sequence represented by a known random code to obtain an operation result, determining one of the single photon accumulation histograms with the maximum amplitude, and calculating a histogram time position corresponding to the result, namely, calculating a distance measurement result of de-blurring. According to the method, the problem of range ambiguity of pulse radar ranging can be solved, the time sliding sequence matching method proposed in cross-correlation operation has the advantages of being efficient and flexible, and the time complexity of cross-correlation operation is effectively reduced.

According to certain embodiments, a method by a network node for linear chirp detection includes obtaining a first number, N, of samples of a signal. The samples are divided into at least a first group and a second group, where the first group includes a second number, D, of the samples of the signal and the second group includes a third number, N−D, of the samples of the signal. A correlation is performed between the first group of samples and the second group of samples to generate a resultant group of samples of the signal. Within the resultant group of samples, a peak value is identified in the frequency domain Based on at least one property associated with the peak value, it is determined whether there is a linear chirp within the signal.

Agricultural inputs, such as liquid fertilizer, is stored in a tank. The tank can be positioned on an agricultural implement. The level of liquid in the tank will vary upon application, and determining the level remaining in the tank presents a problem, especially when the implement is tilted or angled, such as on a side hill. A phase coherent pulse radar sensor in conjunction with a six degree-of-free sensor can provide the needed information for determining the volume in the tank as the implement moves in a field and over unlevel terrain. The radar and sensor can also be used to determine positional aspects of the implement, such as heading, speed, orientation, pitch, yaw, and the like.

Device for generating a radar signal comprising: a generator (110) of periodically repeated series of trigger pulses (sPRF) having a linearly variable time spacing; and an oscillator (120) configured to receive said trigger pulses as input and to generate a train of periodic oscillations in correspondence with each said trigger pulse; characterized in that said oscillator (120) has a variable frequency as a function of a control signal (Vtune); and in that the device also comprises a generator (112) of said control signal, adapted to linearly vary the frequency of the oscillator (120) from one train of periodic oscillations to another.Radar device comprising a transmission channel (1) comprising such a device for generating a radar signal; and a reception channel (2) configured to receive echoes of said radar signal and to demodulate them synchronously with their generation so as to extract time-of-flight information therefrom.

The invention discloses a pulse compression radar accelerator generation method based on model driving, and relates to the technical field of pulse radars, and the method comprises the steps: based on a pulse compression radar signal processing flow, splitting operators according to calculation, interconnection and storage dimensions, and extracting features; defining 9 types of core components to form a parameterized component library; the components and the connection relation are combined, and an architecture description graph in a JSON format is generated; analyzing the ADG through an architecture interpreter to obtain a standardized parameter, and generating an RTL code based on a Chisel hierarchical architecture; performing simulation verification on the RTL code, pre-estimating the resource if the simulation verification is passed, and returning an error if the simulation verification is not passed; injecting expert configuration and combining with Latin hypercube sampling to obtain an initial solution set, iteratively searching a high-quality solution cluster by a TPE algorithm, resetting a parameter boundary and then switching to an ILS algorithm, and combining with a hardware rule to obtain a global optimal solution; and repeatedly executing the steps until the end conditions that the resources reach the standard and iteration reaches the upper limit are met, and outputting the accelerator architecture with the optimal resources under the target application constraint and the complete RTL code.

Backscatter AMP device detection and characterization using Ultra Wideband (UWB) impulse radar may be provided. First, a computing device may transmit an UWB signal comprising pulses to a Backscatter Device (BKD). Next, the computing device may receive a reflection of the UWB signal from the BKD in response to the UWB signal. Then the computing device may locate the BKD using a Channel Impulse Response (CIR) of the reflection of the UWB signal.

Device for generating a radar signal comprising: a generator (110) of periodically repeated series of trigger pulses (sPRF) having a linearly variable time spacing; and an oscillator (120) configured to receive said trigger pulses as input and to generate a train of periodic oscillations in correspondence with each said trigger pulse; characterized in that said oscillator (120) has a variable frequency as a function of a control signal (Vtune); and in that the device also comprises a generator (112) of said control signal, adapted to linearly vary the frequency of the oscillator (120) from one train of periodic oscillations to another.Radar device comprising a transmission channel (1) comprising such a device for generating a radar signal; and a reception channel (2) configured to receive echoes of said radar signal and to demodulate them synchronously with their generation so as to extract time-of-flight information therefrom. Figure for the abstract: Fig. 4.

A radar device is configured to perform a method that includes performing pulse radar measurements and determining measured CIR-taps. The method also includes a specified training set of measured CIR-taps; determining a specified target set of measured CIR-taps in a region of interest with expected radar targets; determining an auto-covariance matrix of CIR-taps of the specified training set; determining a cross-covariance vector between CIR-taps of the specified training set and a specified target CIR tap of the specified target set; and predicting a value for the specified target CIR-tap. The predicted value is subtracted from the corresponding value of the specified target CIR tap.

The present application relates to a radar system and a radar signal processing method. The radar system includes: one or more transmitting channel devices for processing a radar signal to be transmitted according to a first control parameter to generate a transmitted signal; one or more receiving channel devices for receiving an echo signal of the transmitted signal and processing the received echo signal according to a second control parameter to obtain a received signal; and a control processor for performing read and write control on the first control parameter and the second control parameter connected to a system bus, wherein the first control parameter and the second control parameter are preset in a storage medium of the radar system and / or set by the control processor. The present application relates to a radar system capable of defining parameters, which can be compatible with various systems, such as FMCW radar, PMCW radar, pulse radar and other systems, and can achieve the effect of flexibly selecting a suitable technical system as needed.

A system may include a first signal generator communicatively couplable to a first antenna via a switch and configured to generate a carrier signal for a pulsed radar signal. A system may include a second signal generator communicatively couplable to the first antenna via the switch and coupled to an image reject mixer, the second signal generator configured to: transmit, when the first signal generator is communicatively coupled to the first antenna, a local oscillator continuous wave signal to the image reject mixer, and transmit, when the second signal generator is communicatively coupled to the first antenna 1) a first frequency modulated continuous wave signal via the first antenna, and 2) a second frequency modulated continuous wave signal to the image reject mixer, wherein the third continuous wave is mixed with a reflection of the first frequency modulated continuous wave signal received by the second antenna.

The embodiment of the invention discloses a pulse synchronization method and device based on a microwave detection system, equipment and a medium. The method comprises the following steps: receiving an emission signal of an external radar, and preprocessing the emission signal to obtain amplitude data and phase data; performing pulse measurement on the amplitude data to determine a pulse width, and performing frequency calculation on the phase data to determine a pulse frequency; judging whether the pulse width and the pulse frequency both trigger pulse synchronization processing or not according to a preset pulse parameter range; and if the pulse width, the pulse frequency and the pulse period are triggered, a pulse period is obtained, the pulse width, the pulse frequency and the pulse period are judged through a state machine, and pulse data synchronized with the external radar are determined. By implementing the method provided by the embodiment of the invention, the problem that the microwave detection data of the pulse radar signal cannot be synchronously acquired in the prior art can be solved.

The application discloses a kind of foil cloud cluster time-domain scattering characteristic analysis method based on modulated Gaussian pulse radar, specifically includes: the size of foil cloud cluster, the number of foil, length, radius, position coordinate, attitude angle are determined by Matlab;Foil cloud cluster modeling is completed using the method of Matlab-CST joint simulation;The scattering characteristics of foil cloud cluster are analyzed using finite integration algorithm, and the time-domain echo of foil cloud cluster is obtained;Change receiving angle, obtain the time-domain echo of foil cloud cluster from the same angle incidence at different angles receiving electromagnetic wave.The application completes foil cloud cluster modeling by the method of Matlab-CST joint simulation, and the time-domain echo of foil cloud cluster is obtained by time-domain finite integration algorithm, fully considers the influence of randomness and overlapping of foil distribution on time-domain echo.

The application provides a multi-domain extremely narrow pulse radar echo target fusion recognition method based on scattering center matching degree constraint and structural feature auxiliary constraint, constructs an end-to-end classification model for multi-frequency and multi-polarization fusion recognition of an extremely narrow pulse radar echo, can perform feature extraction on input multi-frequency and multi-polarization extremely narrow pulse radar echoes and fusion of frequency dimension and polarization dimension information, and then directly recognizes the fusion features, realizes end-to-end fusion recognition integration, adopts deep learning technology based on feature level fusion, can more fully utilize feature information contained in samples, makes the model make more accurate and stable decisions in the classification task. The method fully mines the correlation between multi-frequency and multi-polarization information, fuses the frequency dimension and polarization dimension information mined, utilizes rich scattering information of multi-frequency and multi-polarization extremely narrow pulse radar echoes, and achieves a relatively ideal target recognition effect.

Pulsed radar by hybrid pulsed and frequency modulation approach. Radar device comprising: - a transmit channel (1) configured to generate a radar signal (IE); and - a receive channel (2) configured to receive echoes (SE) and demodulate them synchronously so as to extract time-of-flight information; characterized in that the transmit channel (1) and the receive channel (2) comprise: - a shared local oscillator (1204), having a variable frequency according to a control signal; - a generator (1202) of said control signal, adapted so that the frequency of said local oscillator varies in time either linearly or linearly in steps, with possible temporal scrambling;and- means for shaping (101, 201) pulses to generate a series of transmit pulses (IE) and a corresponding series of receive demodulation pulses (IDR), each receive demodulation pulse having a duration greater than that of the corresponding transmit pulse and defining a respective time range for receiving echoes. Figure for the abstract: Fig. 1;

This disclosure provides systems, methods and apparatus, including computer programs encoded on computer storage media, for multistatic radar communications. In some implementations, a transmitting device may transmit, to a receiving device, a radar alert frame followed by a codeword and one or more radar pulses. The radar pulses are transmitted, using beamforming, in a number of directions. The timing information indicates a timing offset or delay between one or more codewords of the codeword sequence and the beginning of the radar pulses. The receiving device may detect one or more codewords of the codeword sequence and an echo of at least one of the radar pulses, and determine the time at which the corresponding pulse was transmitted by the transmitting device. The receiving device may compare the timing of the echo with the timing of the transmitted pulse to determine a relative distance of an object that produced the echo.

The invention discloses a signal sending method and device. According to the method, information of a preset single-time sending duration and information of a preset sending time interval are obtained in response to a signal sending request, and the single-time sending duration and the sending time interval are both in positive correlation with a first distance between a sending device and a target object; according to the information of the single sending duration and the information of the sending time interval, determining the information of a single sending time period and the information of a sequence number corresponding to each single sending time period; in a preset corresponding relation between a sequence number and a sub-waveform signal, obtaining a target sub-waveform signal corresponding to the target sequence number, the target sequence number being a sequence number corresponding to the target single sending time period; and sending the target sub-waveform signal in the target single sending time period. According to the embodiment of the invention, the method can solve a self-interference problem when a wide pulse radar signal is used for measurement in a small darkroom environment, and guarantees the accuracy of a measurement result.

The present invention relates to a DAC-based pulse radar multi-waveform signal generation method, which belongs to the field of signal processing. The method can flexibly set various signal parameters, adopts a fully digital method to design and generate pulse radar signals in various relatively complex environmental scenarios, and realizes the generation of various pulse radar signal waveforms in the application environment, including frequency modulation (conventional frequency modulation, frequency diversity, frequency agility), frequency repetition rate (PRI) modulation (conventional, staggered, jitter, sliding, jumping), and intra-pulse modulation (intra-pulse single tone, linear frequency modulation, nonlinear frequency modulation, phase encoding, frequency encoding, and hybrid encoding). The method can simultaneously combine various pulse radar waveforms, dynamically adjust according to the DAC working data bit width, and generate corresponding signals according to the signal waveform output mode. The method has obvious advantages in the simulation generation of pulse radar signals in electromagnetic environments.

The invention discloses a broadband achromatic programmable electromagnetic camouflage device based on a fluid access metasurface. The broadband achromatic programmable electromagnetic camouflage device comprises the fluid access metasurface composed of a plurality of periodically arranged super units. Each super unit comprises a plurality of units arranged in a matrix; each unit comprises a microfluid channel layer and a solid metal layer, and the microfluid channel layer is located above the solid metal layer; the microfluid channel layer is connected to an external driving system through the injection and discharge port, and the external driving system is used for injecting liquid metal or dielectric liquid into the microfluid channel layer; when the microfluid channel layer is filled with liquid metal, the unit is in a first working state; and when the micro-fluid channel layer is filled with the dielectric liquid, the unit is in a second working state. According to the invention, linear phase dispersion control can be realized in a broadband, and it is ensured that the generated false target echo keeps high fidelity in a time domain when facing a broadband pulse radar.

The invention discloses an adaptive radar signal detection method and system based on reinforcement learning. The method comprises the following steps: S1, collecting pulse radar echo signals; s2, dividing a reference unit and a to-be-detected unit for the signal; s3, extracting basic features of the reference unit and the to-be-detected unit signals; s4, extracting deep features of the reference unit signals; s5, extracting deep features of the to-be-detected unit signal, and outputting a confidence coefficient; s6, inputting the joint deep features of the reference unit and the to-be-detected unit into a reinforcement learning agent as a state, and adjusting an action output detection threshold by the agent based on the current state; s7, performing target detection on the to-be-detected unit, and calculating a reward value; s8, repeating the steps S3-S7, constructing empirical data, training and updating the intelligent agent by adopting a reinforcement learning algorithm, and outputting a signal detection decision intelligent agent model; and S9, obtaining a confidence coefficient after the test set passes through the steps S3-S5, inputting the deep features into the trained intelligent agent to obtain a threshold, judging that the intelligent agent with the confidence coefficient exceeding the threshold value is a signal, and otherwise, judging that the intelligent agent is a noise.

The invention relates to a digital coding metasurface-based cross-eye interference method, equipment, equipment and a medium, and the method comprises the steps: taking two digital coding surfaces as antenna structures in the cross-eye interference equipment, symmetrically arranging the two digital coding surfaces at the two sides of a protected target in a monopulse radar visual axis direction, and selecting any one digital coding metasurface, calculating according to wave beam information of interference wave signals to be modulated, a feed source horn and coordinates of all units on the digital coding metasurface to obtain compensation phases of all the units and coding, determining codes on the other metasurface according to the codes on the metasurface, and according to an included angle of a connecting line of a visual axis of the digital coding metasurface and the interfered radar, calculating the interference wave signal to be modulated according to the interference wave signal to be modulated. And determining the amplitude ratio of the two feed source horn emission signals, and generating a modulated interference signal according to the signal amplitude, the amplitude ratio and the two coded digital coding metasurfaces. By adopting the method, the cost can be effectively reduced, and the modulation signal beam pointing can be flexibly controlled.

The invention discloses an array and difference beam co-excitation optimization method and system based on unit dynamic range ratio constraint and a storage medium, and mainly solves the problem that an array and difference beam directional diagram cannot be optimized in a complex application scene and the dynamic range ratio cannot be reduced at the same time in the prior art. The implementation scheme comprises the following steps: determining an antenna optimization index; optimizing the planar array antenna and the difference beam directional diagram by adopting a convex optimization algorithm, and solving the planar array antenna and the difference beam directional diagram to obtain an initial sum beam complex excitation coefficient meeting a constraint condition; adding a unit dynamic range ratio constraint in a planar array antenna and difference beam directional diagram optimization problem, and converting the directional diagram optimization problem after adding the unit dynamic range ratio constraint into a series of convex optimization sub-problems; iteratively solving the convex optimization sub-problem by using a solver to obtain an optimal sum beam excitation coefficient; and synthesizing a sum and difference beam directional diagram of the array according to the optimal sum beam excitation coefficient. According to the invention, the sum-difference beam synthesis with a small dynamic range ratio can be effectively realized while the radiation performance constraint is satisfied, and the method can be used for a monopulse radar system with a cover.

The invention discloses a calibration method for impulse radar transmitted pulse jitter, and the method comprises the steps: capturing a transmitted pulse string sample of an impulse radar, generating a reference pulse waveform, and constructing a delay pulse sample set through random numbers; according to the reference pulse waveform and the delay pulse sample set, obtaining a measurement result by using a delay measurement mode based on multiple rules; according to the delay pulse sample set and the measurement result, constructing a delay measurement data set, carrying out fusion mapping relation training learning, and generating a fusion mapping relation function; a direct wave of the impulse radar is actually measured, and a measurement result is obtained through a delay measurement mode based on multiple rules; and according to the measurement result, obtaining a fusion value of the measurement result by using a fusion mapping relation function, and using the fusion value to delay the correction parameter.

The invention provides a medium-high repetition frequency velocity measurement method and system based on a height-finding radar, and relates to the technical field of data processing and signal processing. According to the method, the target point track distance obtained through data processing is used as prior information, the number of target distance folding times is calculated, and the problem of range finding ambiguity caused by medium-high repetition frequency is solved; a medium-high repetition frequency mode is adopted for tracking speed measurement, and the problem that the low repetition frequency speed measurement range is small is solved; a multi-frequency mode is adopted, the prior information of the track speed of a target point is utilized, and corresponding pulse repetition frequency and emission frequency are calculated and selected, so that the blind speed problem is solved; the interference problem of ground clutter and meteorological clutter is solved by adopting multi-dimensional CFAR (Constant False Alarm Rate) processing and a method of narrowing a target search range through acquired priori information such as target point track distance and point track speed; a point track velocity measurement and Doppler velocity measurement combined processing method is adopted to solve the problem of velocity measurement resolution of monopulse radar.

A miniaturized impulse radar is provided. The radar uses a slight frequency difference between a local oscillator and an RF signal to generate high quality A- Scans using an inexpensive microcontroller's analog-to-digital converter. A DMA circuit is used to write analog-to-digital converter outputs to a buffer memory. The radar has applications in, for instance, ground penetrating radar for detecting buried utilities, automotive collision avoidance, autonomous robot navigation, and machine vision in general.

Agricultural inputs, such as liquid fertilizer, is stored in a tank. The tank can be positioned on an agricultural implement. The level of liquid in the tank will vary upon application, and determining the level remaining in the tank presents a problem, especially when the implement is tilted or angled, such as on a side hill. A phase coherent pulse radar sensor in conjunction with a six degree-of-free sensor can provide the needed information for determining the volume in the tank as the implement moves in a field and over unlevel terrain. The radar and sensor can also be used to determine positional aspects of the implement, such as heading, speed, orientation, pitch, yaw, and the like.

There is provided a feeding network device for improved direction estimation. The feeding network device according to an embodiment of the disclosure includes a first coupler, a second coupler, a first delay, a second delay, a crossover, a third coupler, a fourth coupler, a third delay, and a fourth delay. Accordingly, one sum beam and a plurality of difference beams are emitted through the feeding network device of the array antenna, and improved direction estimation is possible through a plurality of monopulse ratios, and accordingly, improvement of direction estimation in a monopulse radar device is expected.

This invention discloses a practical single-pulse radar training simulator architecture, employing a three-layer structure design consisting of a user layer, a middleware layer, and an execution layer. The user layer, based on a B / S architecture, handles human-computer interaction, training processes, and scenario configuration. It pre-generates and distributes target trajectory-related simulation parameters and pre-set information for abnormal events, while simultaneously collecting operational information and device status and conducting training evaluation. The middleware layer is an embedded control platform used to acquire servo differential angle information in real time, calculate angular error, attenuation, phase, and Doppler echo control parameters, as well as abnormal control quantities, according to the PRF beat. The execution layer is a DRFM simulation sub-unit that receives radar transmitted pulses and applies time delay, Doppler, and amplitude-phase modulation based on control parameters, generating the main target, debris, co-frequency station, and noise echoes for output to the trained radar. This invention achieves a balance between complexity and real-time performance through functional decoupling and separation of responsibilities, supporting high-fidelity training under multiple targets and multiple abnormal conditions.