94 results about "High resolution radar" patented technology

A highly sensitive, high-speed dual tunnel diode detector is described for use in Ultra Wideband (UWB) object detection systems, such as a radar. The extended capability of the detector to both extremely short (sub-foot) and long distance (tens of thousands of feet) ranges is unique and permits the application of low power UWB radar to a wide variety of applications including high resolution radar altimetry at altitudes exceeding 10,000 feet and for autonomous on-deck landing operations (e.g., one-foot altitudes), the detection of extremely low radar cross section (RCS) targets for such applications as suspended wire detection for helicopters and other manned and unmanned craft, etc. High noise and interference immunity of the detector permits co-location of a UWB radar sensor with other active systems. The invention has immediate and significant application to all areas, both military and commercial, of precision distance measurement, intrusion detection, targeting, etc. over a wide range of distances.

A system and method for highly selective intrusion detection using a sparse array of ultra wideband (UWB) radars. Two or more UWB radars are arranged in a sparse array around an area to be protected. Each UWB radar transmits ultra wideband pulses that illuminate the area to be protected. Signal return data is processed to determine, among other things, whether an alarm condition has been triggered. High resolution radar images are formed that give an accurate picture of the area to be protected. This image is used to detect motion in a highly selective manner and to track moving objects within the protected area. Motion can be distinguished based on criteria appropriate to the environment in which the intrusion detection system operates.

A weather radar system is coupled to antenna. The weather radar system includes a processor for generating pulses and for processing return pulses received by the antenna. The processor generates high resolution data from the return pulses. The processor uses the high resolution data to perform high resolution radar analysis including removal of point and/or point-like target returns and reassembles the high resolution data to perform high gain radar analysis at lower resolutions.

Provided are two-dimensional autofocus methods in a synthetic aperture radar (SAR) system which include: (1) two-dimensional pulse pair product algorithm including shear PGA, eigenvector phase history (“EPH”), shear PGA/EPH); (2) two-dimensional optimization algorithms including parametric one-dimensional estimate/two-dimensional correction, parametric two dimensional estimate/two-dimensional correction, unconstrained two-dimensional nonparametric and constrained two-dimensional nonparametric methods; (3) a two-dimensional geometry filter algorithm; (4) a two-dimensional prominent point processing algorithm; (5) a one-dimensional phase estimate of higher order two dimensional phase errors; and, (6) a fast SHARP parametric autofocus algorithm.

The invention discloses an implementation method of a high resolution and wide swath spaceborne SAR (Synthetic Aperture Radar) system. The implementation method comprises adopting the sliding bunching mode that multiple-input and multiple-output are performed and N different carrier frequencies of linear frequency modulation signals are transmitted from N sub-apertures in the azimuth direction of a spaceborne SAR to enable sub-band echoes which are received by the plurality of sub-apertures to be separated, performing azimuth pretreatment on the separated sub-band echoes and eliminating the spectrum overlapping caused by the beam scanning and the antenna multi-channel structure; performing range sub-band composition on signals after the azimuth pretreatment to obtain a sub-band composition signal and obtain the range high resolution, wherein the bandwidth of the sub-band composition signal is N times of the bandwidth of the single linear frequency modulation signal; achieving residual focusing of the sub-band composition signal through an RMA (Range Migration Algorithm) to obtain a final high resolution radar image.

The invention belongs to the technical field of radar signal processing and discloses a multi-target clustering method for a high resolution millimeter wave radar. The method comprises the following steps of: obtaining signal-to-noise ratios of plots detected by the radar, setting a signal-to-noise ratio detection threshold, and discarding plots with signal-to-noise ratios below the signal-to-noise ratio detection threshold in the plots detected by the radar to obtain effective plots; sorting the effective plots according to the signal-to-noise ratios from high to low to obtain sorted effective plots; obtaining a relative distance and a relative angle of each effective plot and the radar and obtaining a spatial right coordinate position and a speed of each effective plot; clustering the sorted effective plots to obtain a plurality of clusters; and calculating the position, the size, and the speed of the center point of a target corresponding to each cluster. The multi-target clusteringmethod for the high resolution millimeter wave radar has the advantages of realizing a target point cloud cluster identification of the high-resolution radar, having no lag in clustering results, andcapable of accurately calculating the recognition target and the target information.

A system and method are provided for classifying objects using high resolution radar signals. The method includes determining a probabilistic classifier of an object from a high resolution radar scan, determining a deterministic classifier of the object from the high resolution radar scan, and classifying the object based on the probabilistic classifier and the deterministic classifier.

The invention discloses a high-resolution radar dual-threshold detector based on energy accumulation, belonging to the field of signal processing. Values of all distance units in a distance window, passing through a square-law detector, are compared with a first threshold, quantity and positions a target scattering center are extracted, then energy of the scattering centers is accumulated and compared with a second threshold to obtain a final detection judgment. Compared with the traditional detection, the detector deduces a calculation formula of the threshold to ensure that actual application is more convenience and flexible, is simple in form, is easy to engineering realization, and has better robustness and detection property under the condition of unknown distribution of the scattering centers.

The invention relates to a method for detecting a spread target based on phase compensation processing. The method comprises the following steps of: 1, producing a high-resolution one-dimensional range image of the spread target, namely performing matched filtering on a linear frequency-modulated wave signal of a high-resolution radar to acquire the one-dimensional range image of the spread target; 2, performing the phase compensation processing on an echo sequence of the spread target; 3, accumulating energy of the spread target, namely performing in-phase stacking on the amplitude of strongscattering point signals in the one-dimensional range image of the spread target; and 4, detecting the spread target by using a cell average-constant false alarm rate (CA-CFAR) detector. In the process, all types of work aim to enhance the detection capability of the spread target so as to correctly detect the spread target.

The invention discloses a radar high-resolution range profile target identification method based on a one-dimensional convolutional neural network. The radar high-resolution range profile target identification method comprises the steps of: determining Q different radars, wherein a target exists within detection ranges of the Q different radars, acquiring high-resolution radar echoes of the Q different radars, then acquiring Q-type high-resolution range imaging data from the high-resolution radar echoes of the Q different radars, dividing the Q-type high-resolution range imaging data into a training sample set and a test sample set, and recording the Q-type high-resolution range imaging data as original data x; calculating to obtain data x'' ' after mean normalization processing accordingto the original data x; setting a one-dimensional convolutional neural network model, and constructing the one-dimensional convolutional neural network model by using the training sample set and the data x'' ' after mean normalization processing, so as to obtain a trained convolutional neural network; and performing target identification on the trained convolutional neural network by using the test sample set, so as to obtain a radar high-resolution range profile target identification result based on the one-dimensional convolutional neural network.

The invention discloses an OFDM-based high-resolution radar communication integration waveform optimization method. The method comprises steps: a radar transmission end adopts a pulse transmission mode to obtain a signal transmitted by a radar transmission end, the signal is transmitted to a communication end and a radar receiving end respectively, information demodulation is carried out after the signal arrives at the communication end, a signal after information demodulation is obtained, pulse compression processing and communication information compensation are respectively carried out on an echo signal for the signal received by the radar receiving end, a target estimation range corresponding to a target and an echo signal after communication information compensation are obtained respectively, decorrelation processing is carried out on the echo signal, an average value for multiple time sub arrays is obtained, MUSIC algorithm is used for calculating a spectral function related to a target range and a target speed in the average value, a target range with range ambiguity and a target speed without ambiguity corresponding to the target are further obtained, range ambiguity solution processing is carried out on the target range with range ambiguity, and a real target range corresponding to the target is obtained.

A system and method for highly selective intrusion detection using a sparse array of time modulated ultra wideband (TM-UWB) radars. Two or more TM-UWB radars are arranged in a sparse array around the perimeter of a building. Each TM-UWB radar transmits ultra wideband pulses that illuminate the building and the surrounding area. Signal return data is processed to determine, among other things, whether an alarm condition has been triggered. High resolution radar images are formed that give an accurate picture of the inside of the building and the surrounding area. This image is used to detect motion in a highly selective manner and to track moving objects within the building and the surrounding area. Motion can be distinguished based on criteria appropriate to the environment in which the intrusion detection system operates.

The invention provides a radar data processing method. The radar data processing method comprises the steps of original data collection, data editing, data processing, image processing and data displaying and interpretation. The proper processing method and process are provided, various kinds of interference noise can be suppressed, effective signals can be enhanced, the signal to noise ratio of data can be improved, a high-resolution radar image section can be obtained, and the interpretation accuracy of a detection result can be improved.

The invention provides a scanning wave beam high-resolution radar scatterometer which employs a pen-shaped wave beam conical scanning system and comprises an antenna unit, a transmitter unit, a receiver unit, a signal processing and control unit, a doppler sharpening processing unit and a high resolution processing unit, wherein the antenna unit employs a narrow wave beam conical scanning system, and the transmitter unit generates linear frequency modulation pulse signals. The pulses when emitted correspond to one observation azimuth phi', and the receiver unit conducts low noise amplification, central frequency reception, mixed frequency deramping and phase demodulation processing for received pulse signals, and extracts echo signals. The digital processing and controlling unit records the observation azimuth phi' corresponding to the emitted signals, and determines the antenna oriented wave beam irradiation area of the radar scatterometer, whether on two sides of a swath or in the center of the swath, according to the magnitude of the observation azimuth phi'. Whether a doppler wave beam sharpening method or a high-sampling reconstruction method is employed is determined, and the high-resolution backward scattering coefficient is thus obtained.

The invention relates to a compressive sensing imaging method for a synthetic aperture radar. The method includes: constructing a standard orthogonal basis for indicating radar echo signals by the aid of a Chirp Scaling operator, processing distance-vector and azimuth-vector two-dimensional data simultaneously by compressive sensing, and sparsely optimizing finally so as to obtain high-resolution radar images based on low data size. By the method, the data size is decreased in the distance vector and the azimuth vector firstly, then the standard orthogonal basis for indicating the radar echo signals is constructed by the aid of the Chirp Scaling operator, and two-dimensional sparse optimization is performed in the distance vector and the azimuth vector by means of compressive sensing so that the radar images are obtained. The data size can be decreased effectively under the circumstance of sparse observation scenes to lower requirements on data storage devices and transmission devices of the synthetic aperture radar, and the compressive sensing imaging method is of great practical significance to a practical system.

The invention provides a method for high-resolution radar compressed sensing imaging of a moving object on ground. The method obtains relatively accurate imaging results and speed and position information of azimuth of the moving object on the basis of greatly compressing ground motion target echo data, and provides important information for accurate identification of the moving object on ground.

The invention puts forward a ground staring imaging system for hovering platforms. The system comprises a transmitter module, a signal processing module and a receiver module. The transmitter module generates and transmits random signals at a predetermined observation visual angle to form a space-time bidimensional random radiation field. The signal processing module calculates and obtains distribution data of the space-time bidimensional random radiation field through emission signal form of a random radiation source unit, configuration distribution of a transmitter antenna, elevation distance from a transmitter to an overlay region and the observation visual angle. The receiver module is used for receiving scattering echo signals through a receiving antenna unit, associating the scattering echo signals with corresponding input radiation field information, and outputting high resolution inversion image. The above scheme put forward by the invention can realize a ground staring high resolution radar imaging function applied in the hovering platforms, and the function is not supported by the prior art. Large scale staring imaging over the ground can be completed through designing aplurality of work modes.

The invention discloses a radar baseband clutter generating device and method. The device includes an FPGA, an ADC, a DAC, a memory, a clock distributor, and a communication interface circuit. According to the method, the FPGA performs hardware initialization, controls the clock distributor to generate clock signals, controls the ADC to sample external radar intermediate-frequency signals under the synchronization of trigger signals, so as to obtain a digital intermediate-frequency sequence, digitally demodulates the intermediate-frequency sequence, stores the demodulated intermediate-frequency sequence to the memory; and the FPGA receives external clutter parameters and a baseband clutter modulation sequence through the communication interface circuit so as to complete baseband clutter modulation, finally controls the DAC to generate baseband analog clutter signals, and outputs hardware working states and the external input clutter parameters through the communication interface circuit. The device and method of the invention are simple in hardware structure and generate different baseband clutters respectively for high-resolution radars and low-resolution radars.

The invention discloses a radar plot clotting method based on contour tracking, which solves the problem of high time consumption caused by scanning data line by line. The radar plot clotting method is implemented by the steps of: inputting radar information; determining a radar azimuth sampling span, and performing azimuth sampling on input video data according to the span; traversing sampling points across the azimuths to find data units having detection bit flags; performing contour tracking on the determined data units having the detection bit flags; acquiring all data units in a search contour by adopting a region growing method; and performing plot clotting processing, and completing target plot clotting in the radar video data. The radar plot clotting method based on contour tracking changes the line-by-line scanning operation mode, the plot clotting method for rapid data search is constituted through combining cross-azimuth sampling with contour tracking and the region growingmethod, the targets of interest is found just by traversing a small part of the data, large amount of calculation is saved, theory and simulation prove that missed detection of the targets does exists, the real-time performance of high-resolution radar data processing is satisfied, and the radar plot clotting method is used for radar plot clotting data processing.

The invention provides a high-resolution radar angle tracking method based on regularization optimization. The method can utilize a regularization optimization method to search an optimum angle measurement value, thereby reducing angle measurement error, and has important significance for high-resolution radar short-range angle tracking. The method comprises the following steps: 1) carrying out pulse compression on echo waves received by high-resolution radar sum/difference channels, and carrying out target detection on signals obtained after sum channel pulse compression, and recording range cells where target scattering points locate; 2) carrying out monopulse angle measurement on the detected range cells; and 3) carrying out regularization optimization on the angle measurement value at the current period: substituting each possible angle value into a cost function, and selecting the angel, which enables C( theta) to have the minimum value, as the output.