70 results about "Doppler processing" patented technology

The invention relates to the technical field of radar signal processing, in particular to a radar target analytical calculation method based on multi-dimensional data fusion and a radar device. Comprising the following steps: deploying a multi-band radar sensor array comprising an X band, a C band and a Ku band in a radar monitoring area; performing pulse compression and Doppler processing on the time domain echo signal, and extracting a time domain feature; spectral analysis is carried out on the frequency domain signals, and frequency domain features are extracted; performing angle estimation on the spatial signals, and extracting spatial features; a dynamic weight distribution model is constructed, a fusion weight is calculated through an adaptive algorithm based on three-dimensional quality indexes of a real-time signal-to-noise ratio (SNR), feature stability (SI) and data integrity (CI), and a joint representation vector containing time domain, frequency domain and space multi-dimensional information is generated. According to the invention, by deploying the multi-band radar sensor array, the recognition capability of the subtle feature difference of the target is improved.

The invention provides an elevator personnel existence detection method and system based on a millimeter wave radar, and relates to the technical field of detection, and the method comprises the steps: orthogonally arranging a positioning radar and a motion detection radar at the top of an elevator car, collecting radar echo signals, and carrying out baseband demodulation; a positioning baseband signal and a motion detection baseband signal are processed through a dynamic threshold elimination method and a self-adaptive harmonic suppression algorithm respectively, and compensation enhancement is carried out in combination with a geometric structure of the lift car; performing fast Fourier transform on the enhanced signal in the dimensions of distance, speed and height, acquiring three-dimensional coordinate data of a target by adopting an adaptive spatial spectrum decomposition positioning algorithm, and performing non-uniform sampling Doppler processing to obtain target motion track data; a recursive state estimation model is adopted for time sequence tracking, human body height judgment is achieved, and the method is used for safety monitoring in the lift car, and early warning for children and pets entering the lift car independently and early warning for long-time staying in the lift car.

Described is a way to process radar data for a radar sensor mounted on a vehicle to generate motion spectrum data for estimating ego-motion information of the vehicle. Data samples of each of a plurality of radar return signals received at each antenna element of the radar sensor are generated for each antenna element. Respective Doppler-processed data including a plurality of data values is calculated for each Doppler bin index. In generating a set of motion spectrum data, which comprises a plurality of data elements each calculated for a respective Doppler bin index and a respective spatial bin index, data values of the Doppler-processed data calculated for the Doppler bin index are selected to calculate a covariance matrix. A spectral estimation algorithm, which uses the covariance matrix, can determine a spatial spectrum value for each spatial bin index.

Multi-timescale Doppler processing and associated systems and methods are provided. In one example, a receiver receives radar return data, where the radar return data is associated with reflections, from a scene, of a plurality of transmitted radar signals. The radar return data is processed to obtain a plurality of sets of detection data, where each set of detection data of the plurality of sets of detection data is associated with a respective processing size. Target data associated with the scene is generated based at least in part on the plurality of sets of detection data. Related systems and methods are also provided.

An object tracking method based on radar point cloud includes the following steps: performing range processing, Doppler processing, and angle processing on a digital signal to obtain a first point-cloud image; recognizing whether there is a first cluster in the first point-cloud image; and recording a first location of the first cluster in response to recognizing that there is the first cluster in the first point-cloud image; or performing range processing and angle processing on the digital signal to obtain a second point-cloud image in response to recognizing that there is not the first cluster in the first point-cloud image; recognizing whether there is a second cluster at a corresponding recorded first location in the second point-cloud image; and recognizing that a tracking target is in a static state in response to recognizing that there is the second cluster at the first location.

The invention relates to the technical field of radar information, in particular to a ground clutter suppression method for a ground reconnaissance radar, which comprises the following steps of: firstly, establishing a clutter profile map by using echo data, judging information inside and outside a clutter according to the clutter profile map, and selecting different signal processing flows, namely, adopting a detection channel 1 outside the clutter, adopting a detection channel 2 and a detection channel 3 inside the clutter and adopting a detection channel 2 and a detection channel 3 outside the clutter; after the detection channel 1 passes through the MTD filter, clutter suppression processing is not carried out, and a detection result is output; the detection channel 2 is a coherent processing channel, firstly performs mean filtering processing, then performs coherent processing, performs clutter suppression processing through phasor mean filtering, and outputs a detection result; and the detection channel 3 is a zero Doppler processing channel and is used for detecting a low-speed target in a clutter area, compared with the prior art, the method can reduce Doppler sidelobes as much as possible on the premise of ensuring that the ground clutter height is suppressed, and has the minimum main lobe width and the minimum signal-to-noise ratio loss.

The application discloses a dual-channel parallel detection airborne phased array radar ground moving target extraction method, comprising the following steps: acquiring coherent pulse train data of an airborne phased array radar; forming sum-difference beam data according to preset sum-difference beam weighting coefficients; constructing a pulse compression matching function to perform pulse compression on the sum-difference beam data; performing platform motion compensation and pulse Doppler processing on the pulse compressed sum-difference beam data; performing high-speed channel determination according to amplitude statistical results of each Doppler unit of the sum beam, and performing CFAR detection; performing low-speed channel determination according to the amplitude statistical results of each Doppler unit of the sum beam, processing low-speed channel data by using sum-difference 3DT-STAP algorithm, and performing CFAR detection and amplitude normalization processing on the processed data; merging the CFAR detection results of the high-speed channel data and the CFAR detection and amplitude normalization processing results of the low-speed channel data, and extracting a point track.

Methods and apparatus for providing self-contained guidance, navigation, and control (GN&C) functions for a vehicle moving through an environment on or near the ground, in the air or in space without externally provided information are disclosed. More particularly, one embodiment of the present invention includes a Heading Sensor (36), an Absolute Location Sensor (38), a timer (40), a Range Doppler Processor (42), a Navigation Reference Sensor (44), an Area Range and a Velocity Sensor (46) which provide enhanced navigation information about a universal reference frame (22) and one or more targets (20).

The invention discloses a fan structure deformation monitoring method based on distributed millimeter-wave radars, and relates to the technical field of detection, and the method comprises the steps: arranging at least two millimeter-wave radar nodes at the bottom of a fan tower in a non-intrusive manner, and controlling the emission time sequence of each radar through a unified PWM trigger signal and a preset time delay matrix, co-frequency interference is eliminated, and multi-radar cooperative detection is ensured; performing distance-Doppler FFT processing on echo signals acquired by each radar node, generating local point cloud data in combination with incoherent accumulation and a constant false alarm detection algorithm, and converting polar coordinates into rectangular coordinates to form a three-dimensional point cloud model; performing iterative registration on the local point clouds of the multiple radar nodes based on an ICP algorithm, unifying the local point clouds to a global coordinate system of a fan tower footing, and fusing to generate a complete fan structure three-dimensional point cloud field; and calculating a point-to-point distance difference between the historical reference point cloud and the current point cloud, counting a mean value and a maximum value, and judging whether deformation early warning is triggered or not according to a preset threshold value.

Methods and apparatus for providing self-contained guidance, navigation, and control (GN&C) functions for a vehicle moving through an environment on or near the ground, in the air or in space without externally provided information are disclosed. More particularly, one embodiment of the present invention includes a Heading Sensor (36), an Absolute Location Sensor (38), a timer (40), a Range Doppler Processor (42), a Navigation Reference Sensor (44), an Area Range and a Velocity Sensor (46) which provide enhanced navigation information about a universal reference frame (22) and one or more targets (20).

Methods and apparatus for providing self-contained guidance, navigation, and control (GN&C) functions for a vehicle moving through an environment on or near the ground, in the air or in space without externally provided information are disclosed. More particularly, one embodiment of the present invention includes a Heading Sensor (36), an Absolute Location Sensor (38), a timer (40), a Range Doppler Processor (42), a Navigation Reference Sensor (44), an Area Range and a Velocity Sensor (46) which provide enhanced navigation information about a universal reference frame (22) and one or more targets (20).

Methods and apparatus for providing self-contained guidance, navigation, and control (GN&C) functions for a vehicle moving through an environment on or near the ground, in the air or in space without externally provided information are disclosed. More particularly, one embodiment of the present invention includes a Heading Sensor (36), an Absolute Location Sensor (38), a timer (40), a Range Doppler Processor (42), a Navigation Reference Sensor (44), an Area Range and a Velocity Sensor (46) which provide enhanced navigation information about a universal reference frame (22) and one or more targets (20).

The invention relates to a photonic radar system (100) and a method for operating a photonic radar system (100). The invention further relates to a central unit (10) and a method for operating the central unit (10). The invention relates to reducing the computational effort required for Doppler processing in sparsely distributed antenna apertures by incorporating uniform linear array (ULA) structures (70).

Described are techniques for interleaving range and Doppler radar processing. A data cube is memory accessed differently, from one look period to the next, which allows Doppler processing for a current look period to happen in parallel with range processing for a next look period. Range processing for a first look period writes to rows of the data cube; Doppler processing reads from and empties its columns. But before Doppler processing can finish, a second look period begins. Rather than re-writing to the rows, range processing in the second look period writes to the columns just emptied by the ongoing Doppler processing. Doppler processing for the first look period is allowed to finish by executing during processing idle times in the second period, e.g., in-between chirps. With better processor utilization, Doppler processing is afforded more time to do its complex operations, while keeping look periods as short as possible.

The invention discloses a millimeter wave radar array-based wind field fan blade integrated monitoring method, which comprises the following steps of: generating a point cloud observation result by performing range direction and Doppler processing on observation data acquired by a millimeter wave radar array at the top of a cabin, and constructing an echo energy time sequence in a fan blade area; and determining the sweep-over period of the fan blade through peak detection. A time slot control sequence is constructed, a fan blade occupation time period is used for point cloud reconstruction, and a non-shielding time period is used for wind measurement. In a fan blade point cloud reconstruction time slot, reconstructing a fan blade point cloud through methods of multi-channel signal synthesis, threshold detection, angle estimation and the like, and extracting blade state parameters; in a wind measurement time slot, a wind speed vector inversion model is established through multi-sight radial speed observation, and the wind speed and the wind direction are obtained by adopting a weighted fusion method. And fusing and outputting the fan blade state parameters and the wind field parameters in a unified coordinate system and a time axis. According to the method, additional wind measurement equipment is not needed, and integrated, continuous and high-reliability monitoring of the wind field and the fan blades is achieved.

The invention provides a target point cloud clustering method based on radar multi-dimensional feature information and related equipment. The target point cloud clustering method based on the radar multi-dimensional feature information comprises the steps of determining an echo signal and a transmitting signal of a radar, performing frequency mixing on the echo signal and the transmitting signal, and determining an intermediate frequency signal; according to the intermediate frequency signal, position information of any target point cloud is determined through distance-Doppler FFT processing; determining a radial distance between the target point cloud and the radar according to the position information, carrying out classification processing on the target point cloud according to the radial distance, and determining a short-distance target point cloud and a long-distance target point cloud; clustering the close-range target point clouds through a clustering method based on space coordinate dimensions, and determining a close-range point cloud clustering result; clustering the long-distance target point cloud through a clustering method based on speed radial distance dimension, and determining a long-distance point cloud clustering result; and fusing the short-distance point cloud clustering result and the long-distance point cloud clustering result.

The application relates to the field of radar technology and provides a method and device for resisting towed interference of an airborne radar. The method comprises the following steps: constructing sum channel data, azimuth difference channel data and elevation difference azimuth data of echo signals; constructing sum-difference three-channel data of each pulse according to the sum channel data, the azimuth difference channel data and the elevation difference azimuth data; processing the sum-difference three-channel data by using a blind source separation algorithm to obtain target echo channel data and a separation matrix; pulse compressing the target echo channel data to obtain a target distance estimation value; determining an azimuth angle and an elevation angle of a target according to the target echo channel data and the separation matrix; and constructing a target echo matrix by using target echo channel data of each pulse, and performing Doppler processing on the target echo matrix to obtain a target speed estimation value. The application can resist towed interference, determine the distance, the azimuth angle, the elevation angle and the speed of the target, and realize effective detection of the target.

The application discloses a kind of wind field wind blade integrated monitoring method based on millimeter wave radar array, comprising: by the observation data obtained by millimeter wave radar array on the top of cabin is carried out distance and doppler processing, generate point cloud observation result, and construct echo energy time sequence in wind blade area, determine wind blade sweep period by peak value detection.Construct time slot control sequence, wind blade occupation period is used for point cloud reconstruction, unobstructed period is used for wind measurement.In wind blade point cloud reconstruction time slot, reconstruct wind blade point cloud by multi-channel signal synthesis, threshold detection and angle estimation etc., and extract blade state parameter;In wind measurement time slot, by multi-view radial velocity observation, establish wind speed vector inversion model, and obtain wind speed and wind direction by using weighted fusion method.Wind blade state parameter and wind field parameter are fused and output under unified coordinate system and time axis.The method does not need additional wind measurement equipment, realizes the integration, continuity and high reliable monitoring of wind field and wind blade.

A method and apparatus for radar sensing in a disaggregated radio access network. The apparatus includes interface circuitry to receive data from a radio unit and processing circuitry to perform radar sensing processing on the received data to determine at least one of range, velocity, or direction of at least one target in an environment. The radar sensing processing includes range processing, Doppler processing, two-dimensional range-Doppler periodogram processing, constant false alarm rate (CFAR) detection processing, angular resolution processing, and post processing. The data received from the radio unit is beam domain data obtained by receive beamforming, and the processing circuitry is configured to perform decompression processing for converting the beam domain data to antenna domain data and perform at least the angular resolution processing and the post processing on the antenna domain data. The processing circuitry may perform the decompression processing after the CFAR detection processing.

A method of processing radar signalling, the method comprising: receiving a mask (815) that represents samples in the radar signalling that are detected as including interference. The mask (815) comprises a matrix of data having a first dimension and a second dimension, wherein the first dimension represents a fast-time axis and the second dimension represents a slow-time axis. The method further comprises performing frequency analysis on the mask (815) across each of the fast-time axis and the slow-time axis of the mask in order to provide a range-Doppler processed mask (817); and deconvolving a range-Doppler map (813) of the received radar signalling using the range-Doppler processed mask (817) in order to provide a deconvolved-range-Doppler map (814).

Surface meteorological drone dedicated to meteorological observation characterized in that it comprises: - A meteorological radar (1) X band (type "airborne or maritime meteorological") or S, L band ("terrestrial meteorological" type) with or without pulse compression, but with Doppler processing to eliminate parasitic echoes. - A radar antenna which is fixed to a toothed crown associated with a servo for roll stabilization (2). - The whole is enclosed under a radome (3) made of composite permeable to radio frequency. - The radome is fixed to the mast of the drone by means of a transmission system (4) which allows a servo on the yaw axis (Z). Figure to be published with the abstract: figure 1.

The invention provides a target distance Doppler processing method and device and a storage medium, and the method comprises the steps: carrying out the pulse sampling of a radar echo signal of a target, and determining radar observation data in a one-dimensional vector form; reconstructing the radar observation data according to the number of pulses and the number of sampling times when pulse sampling is carried out on the radar echo signal, and determining a two-dimensional observation matrix corresponding to the radar observation data; the sampling frequency is greater than the pulse number; dividing the two-dimensional observation matrix into a plurality of batches of reconstruction signals according to computing power parameters of the GPU; each batch of reconstruction signal comprises multiple columns of data in the two-dimensional observation matrix; and performing distance Doppler signal recovery processing on the reconstructed signals of each batch in parallel by using a GPU, determining a target recovery signal corresponding to the reconstructed signals of each batch, and determining a distance Doppler processing result corresponding to the target according to the target recovery signals of each batch. By adopting the technical scheme of the invention, the efficiency of distance Doppler processing can be improved.

The invention relates to a 5G SSB signal-based TDOA + AOA track initiation detection method, which comprises the following steps of carrying out synchronous signal search on a reference channel and a monitoring channel, and finding out the position of an SSB peak point; eight SSB peak point phases are obtained, then phase unwrapping processing is carried out on the SSB phases of all channels, and after the unwrapped phases are averaged, target phase angle information is obtained through a virtual baseline direction finding algorithm; target echo information is extracted through distance Doppler processing, and the approximate position of a target is obtained through a TDOA algorithm; rejecting false targets by using a constant false alarm detection algorithm, and extracting target distance speed information; and finally, for the extracted target angle and distance speed information, using a track initiation algorithm to further eliminate false targets and obtain target tracks, and the method can effectively eliminate the false targets and realize accurate detection of low-altitude targets.

The present invention discloses a detection system, which includes a signal transmitter for transmitting a transmission signal into an area and a receiver, the receiver is used to receive a reflection signal generated by reflection of the transmission signal, and generate a reception signal indicating the reflection signal. A processor is coupled to the receiver to receive the reception signal and process the reception signal to generate a detection of one or more objects in the area. The processing includes changing a phase shift to generate a phase modulation signal from the reception signal, and generating a detection from the phase modulation signal.

A radar system that uses a range walk compensation algorithm to reduce system losses resulting from moving targets. During the coherent integration of pulse radar systems, the conventional Fast Fourier Transform (FFT) for Doppler processing needs to change the input range bin number in accordance to the velocity of the target. The algorithm allows for configuration of Doppler groups to compute several Dopplers with one FFT. Each Doppler group has a transform Doppler that is close to the center of the group which will dictate the change of range bins for the input data to the FFT. As the range bins are changed, there are two input filter techniques: nearest bin select, and 2-tap filter. After range walk compensation processes all Doppler groups by FFT, the resultant output block has much higher coherent integration as compared to just a conventional FFT.

The invention relates to the technical field of radar speed measurement, and discloses a radar speed measurement method based on gain control, comprising the following steps: S1, system initialization and gain calibration: pre-testing loop stability; s2, signal transmitting and echo receiving: transmitting and receiving a dynamic gain control echo signal; s3, high-speed signal acquisition and synchronization: acquiring I / Q channel data; s4, Doppler processing and dynamic gain compensation: Doppler frequency is extracted; s5, Doppler peak value detection and speed calculation: detecting a target peak value, and calculating a target speed; s6, dynamic performance verification: carrying out a multi-target scene test and an anti-interference test; s7, boundary condition robustness test: carrying out extreme environment test and overload recovery test; and S8, calibrating and outputting data. Through real-time gain compensation of digital automatic gain control and robust Doppler processing, high-precision speed measurement can still be realized under the conditions of strong clutter, interference and rapid gain change, the stability is good, and the influence of the environment is small.

The invention relates to the technical field of signal processing, and further relates to an electronic fence based on an ultra-wideband radar technology, which comprises a signal transmitting unit used for generating an ultra-wideband signal; the signal model construction unit is used for constructing a propagation model of the modulation signal in the space; the target object model construction unit is used for constructing an anisotropic scattering model of the target so as to calculate a radar cross section of the target; the receiving signal model building unit is used for building a receiving signal model according to the radar cross section of the target; the analysis unit is used for enhancing the detection capability of the target in the received signal and setting a detection threshold so as to determine whether the target exists in the received signal or not; and the target motion estimation unit is used for performing target motion process estimation by using a Kalman filter. According to the invention, the accuracy of the electronic fence is improved through the ultra-wideband radar technology, signal processing and multi-channel pulse-Doppler processing.

The invention discloses a space small target detection method fusing microwave infrared information, and belongs to the technical field of image processing. The invention discloses a space small target detection method fusing microwave infrared information, and the method comprises the steps: carrying out the radar data preprocessing, carrying out the matched filtering and Doppler processing of a radar target echo, generating a distance-Doppler graph, processing the distance-Doppler graph, and forming an RDPA graph; performing target shape feature extraction and analysis on the infrared image based on an image segmentation algorithm of threshold segmentation; and designing a space small target detection network fusing RDPA map and infrared map information. According to the space small target detection method fusing the microwave and infrared information, the detection information increment between different sensors is further mined by designing the space small target detection network, deeply fusing the detection information of the microwave sensor and the detection information of the infrared sensor, and expanding the target detection dimension; and the fine detection of the small space target is realized.

The invention discloses a target detection method for an external radiation source radar. The invention first obtains a range-Doppler matrix A of an external radiation source radar; saves A as a grayscale image B, inputs B into a network to detect whether an abnormal situation such as a reference channel containing a target echo occurs; if the output is 0, it indicates that no abnormal situation occurs, then a constant false alarm detection is directly performed to obtain a target detection result; if the output is 1, it indicates that an abnormal situation occurs, then a constant false alarm detection is first performed to obtain a detection matrix C, each element of C greater than 0 is regarded as a pending target, and a reference signal is reconstructed with each pending target, and then clutter suppression, range-Doppler processing, and constant false alarm detection are performed with the reconstructed reference signal to obtain a new detection matrix D; compare the number of elements greater than 0 in C and D, if the number decreases, the corresponding pending target is a true target and should be retained; if the number increases, the corresponding pending target is a false target and should be set to 0. After all pending targets are processed as described above, the final target detection result can be obtained.

The embodiment of the application discloses a kind of parameter estimation method, device and medium of airborne distributed MIMO radar system, belong to radar signal processing technical field;Including: the system model of airborne distributed MIMO radar is constructed;The echo signal received by receiver airborne platform is matched filtering and Doppler processing, and the rough estimation of the distance and Doppler shift of target is obtained;According to the rough estimation of distance and Doppler shift, the maximum likelihood function of echo signal is solved by one-dimensional search of time delay and Doppler shift respectively, and the optimal estimation of time delay and Doppler shift is obtained respectively.The method can give the mathematical model of airborne distributed MIMO radar system, based on maximum likelihood algorithm and the rough prior information of time delay-Doppler shift, the target parameter is accurately estimated by one-dimensional search of parameter, and the operation amount of parameter estimation is reduced.