17 results about "Radar signal detection" patented technology

The invention discloses a radar target detection method based on graph node dual-channel feature attention fusion, and belongs to the technical field of radar signal detection, and the method comprises the following steps: 1, carrying out the graph node division of received frame radar echo data; 2, respectively extracting time domain amplitude and time frequency characteristics from echo time sequence data corresponding to each graph node; step 3, establishing a feature preprocessing sub-network; step 4, constructing a node feature fusion sub-network; 5, constructing a signal classification graph neural sub-network; 6, connecting the feature preprocessing sub-network, the node feature fusion sub-network and the signal classification graph neural sub-network in series to form a radar target detection neural network; and 7, inputting the test set into the trained radar target detection neural network, and outputting a dichotomy result of which the corresponding node is a target or clutter signal. Through the scheme, the target detection capability of the radar in the clutter environment can be improved.

A cardiopulmonary radar signal detection system based on a pre-training-fine tuning normal form comprises a signal acquisition module, a waveform demodulation module, a signal waveform pre-training module, a signal waveform fine tuning classification module and a classification result semantization module. Wherein the signal acquisition module adopts an under-bed radar module based on a millimeter wave sensor to acquire cardiopulmonary activity information on the surface of a thoracic cavity; the waveform demodulation module extracts a cardiopulmonary activity displacement curve from the cardiopulmonary activity information by adopting a radar signal demodulation algorithm; the signal waveform pre-training module carries out waveform covering processing according to the cardiopulmonary activity displacement signal waveform information to obtain a reconstructed signal waveform result; the signal waveform fine tuning classification module performs classification label processing according to the abnormal cardiopulmonary displacement signal waveform marking information to obtain a matching result between the signal waveform and a classification label; and the classification result semantization module performs label analysis and interpretation under the combination of the knowledge base according to the classification label matching information to obtain a semantic comprehensive result of the cardiopulmonary radar signal detection system. The method is high in overall link performance, high in integration level and large in application potential.

A wireless device is configured to transmit radar signals at extremely low spectral density so that the receiver can be operated at the same time without saturating and thereby enabling full-duplex operation. To achieve sufficient range, beamforming is used together with a very long correlation time for detection of the radar signal, in which case the receiver can resolve backscattered or reflected radar signals far below the noise floor, while the bandwidth of the transmitted radar signal can be very high. The wide bandwidth enables the wireless device to maintain a low power spectral density while increasing output power, and also increase the depth resolution. The extremely low power spectral density even in the transmission beam direction makes the probability that communication will be disturbed very low. The high bandwidth calls for digital filters for both transmitted and received signals to equalize the radar frequency response characteristics of the radio unit.

A hydraulic cylinder assembly includes a cylinder body, a piston configured to slide within an interior of the cylinder body, and a cylinder head coupled to the cylinder body. The cylinder head includes a cavity, and a bore that extends between the cavity and the interior of the cylinder body. The hydraulic cylinder assembly includes a radar sensing unit disposed within the cavity. The radar sensing unit includes a radar signal emitter and a radar signal detector oriented respectively to emit and detect radar signals through the bore into the interior of the cylinder body. The hydraulic cylinder assembly includes a dielectric lens between the radar sensing unit and the interior of the cylinder body, the dielectric lens having a convex side facing the radar sensing unit and a planar side opposite the convex side facing the interior of the cylinder body.

The invention belongs to the field of centralized MIMO (Multiple Input Multiple Output) radar signal detection, and relates to a self-adaptive detector algorithm for a weak moving target, combined with an optimized quantizer based on a PSO-SA (Particle Swarm Optimization-Sub-Association) algorithm and based on G-LMP (Gradient-Local Maximum Potential) detection of a local maximum potential algorithm under a low-bit quantization condition. The method specifically comprises the following steps: S1, setting a radar system model, setting a centralized MIMO radar, and performing multi-input and multi-output; s2, transmitting and receiving at the same time by each antenna to obtain a radar echo signal, and performing low-bit quantization processing on the received signal; s3, adopting a similar GLRT thought, and designing a G-LMP detection algorithm based on a local maximum potential; and S4, designing a quantizer based on a PSO-SA algorithm obtained by combining a particle swarm algorithm and a simulated annealing algorithm, and carrying out multiple iterations to obtain an appropriate quantization threshold value so as to improve the detection performance. Under the condition that a large amount of echo data is obtained by a centralized MIMO radar, a low-bit sampling method is introduced, the occupied bandwidth is reduced, the detector with better performance is designed, and compared with a single traditional detector, the detection performance is effectively improved while the operation cost is reduced.

The present application relates to a radar signal detection method, a processing chip, a radar, a device, and a detection apparatus, which relate to the technical field of radars. The method comprises: receiving a first instruction, wherein the first instruction is used for indicating a first threshold value; receiving a first radar signal; and in response to the similarity between the first radar signal and a preset signal being greater than or equal to the first threshold value, sending an alarm signal, wherein the preset signal is used for representing that there is a moving target object in a target area. In this way, the accuracy of radar detection can be improved.

Disclosed is a driver assistance system including a first processor that receives a radar signal from a radar and detects one or more first objects based on the radar signal, a second processor that receives a camera signal from a camera and detects one or more second objects based on the camera signal, a laser controller that controls a beam generator to radiate the laser beam, a segmentation unit that extracts one or more first segments and one or more second segments corresponding to the one or more second objects, a mapping unit that maps at least one of the first segments and at least one of the second segments, a classification unit that classifies a target object based on an image signal and determines a possibility of collision with the target object, and a vehicle controller that controls a vehicle drive device based on the possibility of collision.

The invention relates to a radar signal detection method, a processing chip, a radar, equipment and a detection device, and relates to the technical field of radars. The method comprises the steps of receiving a first instruction, wherein the first instruction is used for indicating a first threshold value; receiving a first radar signal; when the similarity between the first radar signal and a preset signal is larger than or equal to a first threshold value, an alarm signal is sent, and the preset signal is used for representing that a moving target object exists in the target area. Therefore, the accuracy of radar detection can be improved.

The embodiment of the invention provides a radar signal detection method and a related device, and the method comprises the steps: converting a radar signal into structural data based on the pulse time domain data of the radar signal; performing semantic segmentation processing on the radar signal based on the time-frequency graph of the radar signal to generate semantic data; performing fusion coding on the structured data and the semantic data to obtain fusion features of the radar signal; and detecting the fusion features based on a vertical class large model to obtain a detection result. According to the embodiment of the invention, fusion coding is carried out on the structured data and the semantic data, so that the obtained fusion features not only retain the physical characteristics of the radar signal, but also capture the time-frequency joint features, thereby providing complete semantic input for the output detection result of the vertical large model, and improving the detection accuracy. Loss of high-dimensional physical features in the radar signals is effectively avoided, and the accuracy of radar signal detection is improved by combining with the large vertical model.

The invention discloses a radar communication machine based on EBPSK / MPPSK modulation, which comprises a transmitter power amplifier, a receiver intermediate frequency amplifier, a transceiving switch and an antenna / feeder line, and further comprises a data frame memory, an EBPSK / MPPSK signal modulator, an impact filter, a matched filter, two time gating gates and a radar signal detector, and a communication data demodulator. The data frame memory processes the randomized communication data code stream, and sends the randomized communication data code stream to the matched filter; and the EBPSK / MPPSK signal modulator processes a carrier signal of the radar transmitter by using the data in the data frame memory, and sends the carrier signal to the transmitter power amplifier. Under different combinations of the framework, the single-path EBPSK / MPPSK signal modem and the matched filter, the radar communication integrated equipment function can be obtained by using the same system.

A monobit analog-digital converter (ADC) system and method are disclosed, the system comprising a front-end signal conditioning system equipped with a programmable attenuator and amplifier for processing analog signals, where the attenuator, which may include a cascade of programmable attenuator cells, is controlled by an attenuation control signal to adjust signal attenuation to cause a signal-to-noise ratio (SNR) in the negative domain, after which an amplifier amplifies the attenuated signal with the suitable SNR, where the amplified signal is then converted to a monobit signal by a monobit ADC, thereby achieving an ADC system that enables conditioning and digitizing of RF signals over a wide range of input signal powers with control over the output spectrum signal power and harmonics to achieve low-power real-time general-purpose broadband blocker detection for adaptive radios and for interference detection, main beam radar signal detection, and instantaneous frequency measurement, among other fields requiring general-purpose blocker identification with low size, weight, power, and cost (SWaP-C).

The invention belongs to the technical field of radar signal detection and classification, and particularly discloses a radar signal detection and classification method based on low signal-to-noise ratio time-frequency image enhancement, and the method comprises the steps: obtaining original IQ data, inputting the original IQ data into a lightweight detection model, carrying out the judgment of whether there is a signal, and if there is a signal, carrying out the recognition of the IQ data; if so, carrying out time-frequency transformation on the original IQ data segment in which the signal exists to obtain an initial time-frequency image; inputting the image into a CycleGAN enhancement model comprising two generators and two discriminators, and mapping the noise-containing initial time-frequency image into an enhanced time-frequency image through antagonism training and cyclic consistency loss between the generators and the discriminators; and inputting the enhanced time-frequency image into a depth classification model for feature extraction and classification, and outputting a final judgment result, including whether radar signals exist or not and the number category of the signals. According to the invention, the accuracy and robustness of radar signal detection can be effectively improved in a low signal-to-noise ratio and strong interference environment.

This invention discloses an adaptive radar constant false alarm rate (CFAR) detection method based on dynamic length truncation and segmented threshold compensation, mainly addressing the problem that existing technologies cannot simultaneously achieve both detection accuracy and real-time computation in dense multi-target scenarios. The scheme includes: 1) acquiring the amplitude data of the radar echo signal and constructing reference sliding windows on both sides of each target unit; 2) calculating the mean ratio of the left and right reference units and determining whether to perform truncation processing based on it; 3) obtaining the estimated noise power value after truncation using a preset gradient strategy; 5) determining the compensation factor value based on the effective sample length; 7) obtaining the nominal factor through a dynamic sample generation module, and calculating the final detection threshold by combining the estimated value and the compensation factor, and outputting the detection result. This invention has a constant data throughput and short processing time, and can achieve high-precision anti-masking radar signal detection while maintaining deterministic low latency, meeting the requirements of autonomous driving for deterministic low latency.

A hydraulic cylinder assembly includes a cylinder body, a piston configured to slide within an interior of the cylinder body, and a cylinder head coupled to the cylinder body. The cylinder head includes a cavity, and a bore that extends between the cavity and the interior of the cylinder body. The hydraulic cylinder assembly includes a radar sensing unit disposed within the cavity. The radar sensing unit includes a radar signal emitter and a radar signal detector oriented respectively to emit and detect radar signals through the bore into the interior of the cylinder body. The hydraulic cylinder assembly includes a dielectric lens between the radar sensing unit and the interior of the cylinder body, the dielectric lens having a convex side facing the radar sensing unit and a planar side opposite the convex side facing the interior of the cylinder body.

The invention discloses a laser radar signal generation method, a laser radar signal detection method and a laser radar signal detection system. The system comprises a transmitting end and a receiving end, the transmitting end comprises a transmitting end modulation module used for generating a first electric driving signal and a target modulation reference signal; the direct modulation module directly modulates the first electric driving signal to generate a calibration electric signal; the pre-distortion equalization module compares the calibration electric signal with the modulation reference signal to generate a second electric driving signal; the beam transmitting module adopts a second electric driving signal to drive a direct modulation laser to generate radar detection signal light to be transmitted; the receiving end comprises a beam receiving module used for receiving reflected signal light after the radar detection signal light is reflected by a target; the coherent detection module performs coherent mixing on the reflected signal light and the transmitted signal light to obtain an electric signal; the phase recovery module obtains a signal after phase recovery according to the electric signal; the distance analysis module estimates the distance of the target; the Doppler processing module estimates a relative velocity of the target.

Embodiments of the invention relate to interleaved constant amplitude zero autocorrelation sequences for communication systems or radar systems. A transmitting device (100) transmits a communication signal or a radar signal (510) to a receiving device (300). The communication signal or the radar signal (510) is generated based on a complex valued interleaving sequence, which is a constant amplitude zero autocorrelation sequence interleaved by a permutation polynomial. The receiving device (300) receives the communication signal or the radar signal (510) and detects the complex value sequence based on the communication signal or the radar signal (510). The invention further relates to a corresponding method and to a computer program.

A system and method for detecting targets with radar signals are disclosed which include a receiver configured to receive a radar signal on orthogonally-polarized channels and generate a receiver return vector from the received radar signal, a range filter configured to filter reflections in the receiver return vector at a selected range bin, and a polarization filter configured to filter an identified interference signal from a return of the range filter.