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76 results about "High range resolution" patented technology

A high-resolution range profile (HRRP) is a one-dimensional signature of an object. It is a representation of the time domain response of the target to a high-range resolution radar pulse.

Radar moving target detection method based on short-time sparse fractional Fourier transform (ST-SFRFT)

ActiveCN106526568AImplement time-frequency representationGuaranteed energy concentrationRadio wave reradiation/reflectionDecompositionTarget signal
The invention relates to a radar moving target detection method based on short-time sparse fractional Fourier transform (ST-SFRFT), and belongs to the technical field of radar signal processing and detection. The method comprises the steps of: performing radar echo demodulation and pulse compression to realize high range resolution, and selecting a range unit to be detected; performing spare time-frequency analysis parameter initialization, comprising selection of a short-time window function and a window length and design of a sparse decomposition dictionary; performing ST-SFRFT operation for spare optimization solution, thus completing high-resolution spare time-frequency representation of moving target echo; traversing all range search units, performing moving target signal spare domain detection and estimating a target moving parameter. By adopting a high-resolution spare representation method, high-resolution and low-complexity time-frequency representation of time-varying signals is realized at the time frequency-spare domain; and the method is suitable for analyzing the time varying non-stability of signals, suppresses background clutter while improving energy concentration of moving target signals, and significantly improves the radar moving target detection and parameter estimation capability.
Owner:NAVAL AVIATION UNIV

Super high range resolution amplitude and range principal scatterer (SHARP) classifier

A radar classifies an unknown target illuminated with a large bandwidth pulse. The large bandwidth pulse may be algorithmically synthesized. The target reflects the large bandwidth pulse to form a return. The return is digitized into digital samples at range bin intervals. A computer extracts unknown range and amplitude pairs descriptive of the unknown target from the digital samples. Some range and amplitude pairs are located within one range bin interval. Principle scatterers are extracted from the unknown range and amplitude pairs using Modified Forward backward linear Prediction to form an unknown feature vector for the target. A plurality of pre-stored, known feature vectors containing known range and amplitude pairs are retrieved from the computer. The known range and amplitude pairs are descriptive of known targets, and are grouped in clusters having least dispersion for each of the known targets. The computer associates, for the principal scatterers, the unknown feature vector descriptive of the unknown target with each of the known feature vectors. The target is classified by using highest a posteriori conditional probability density obtained from comparing the known feature vectors with the unknown feature vector. The principal scatterers descriptive of the unknown, target are estimated using a Modified Forward Backward Linear Prediction. The Modified Forward Backward Linear Prediction also estimates range of the principal scatterers forming the unknown target. The principal scatterers are tested for decaying modes. The Modified Forward Backward Linear Prediction estimates are evaluated using Cramer Reo Bound computation for robustness.
Owner:RAYTHEON CO

Ultrasonic wave space sampling method and monitoring anti-theft device and method based on distance images

An ultrasonic wave space monitoring anti-theft device based on distance images comprises a controller, a warning device connected with the controller, a digital signal processor connected with the controller in a data mode and a waveform generator. The waveform generator can generate narrow pulse signals and linear FM signals and is connected with an ultrasonic wave emitting device. The digital signal processor is connected with an ultrasonic wave receiving device. The ultrasonic wave receiving device separates received ultrasonic wave signals into narrow pulse and linear FM signals which are transmitted to the digital signal processor respectively. The invention further discloses an ultrasonic wave space sampling method and a monitoring anti-theft method based on distance images. By forgetting weighted processing and changing position comparison processing, the misinformation probability is lowered, the problem that the ultrasonic wave high range resolution and the long detection range cannot be achieved at the same time is solved, the ultrasonic wave emitting device and the ultrasonic wave receiving device can be placed on one side of a space, and high application flexibility is achieved.
Owner:合肥四相至新科技有限公司

Autoregressive-model-based high range resolution profile radar target recognition method

ActiveCN102184408AThe training sample needs to be smallThe total number of frames for training sample recognition features is automatically determinedCharacter and pattern recognitionRadio wave reradiation/reflectionFrequency spectrumTest sample
The invention provides an autoregressive-model-based high range resolution profile radar target recognition method. The method mainly solves the problems that the demand on training samples is high and the total number of frames of recognition features cannot be determined automatically in the conventional high range resolution profile radar target recognition technology. The method is implemented by the steps of: computing a frequency spectrum amplitude signal of a high range resolution profile training sample; modeling the frequency spectrum amplitude signal of the training sample by using an autoregressive model; computing a coefficient vector of the autoregressive model by using a Yule-Walker equation and using the coefficient vector as the recognition feature of the training sample; performing frame division on the recognition feature of the training sample by using a Gaussian mixture model; automatically determining the total number of the frames of the recognition features of the training sample and evaluating parameters of each frame by using a Bayesian Yin-Yang learning method; and extracting an autoregressive coefficient vector recognition feature of a test sample for recognition so as to obtain a recognition result. The autoregressive-model-based high range resolution profile radar target recognition method has the advantages that: the demand on the training samplesis low, the total number of the frames of the recognition features is determined automatically, and the method can be applied to radar target recognition.
Owner:XIAN CETC XIDIAN UNIV RADAR TECH COLLABORATIVE INNOVATION INST CO LTD

Improved frequency stepping synthetic aperture radar (SAR) imaging method based on frequency domain frequency spectrum reconstruction

An improved frequency stepping synthetic aperture radar (SAR) imaging method based on frequency domain frequency spectrum reconstruction specifically includes: 1 grouping frequency stepping SAR echo data stepping at carrier frequency n points to obtain n groups of sub-band echo data (including data of m distance lines) with different carrier frequencies; 2 judging whether aliasing can happen on distance frequency of the sub-band echo data performed with two-dimensional focus processing, and performing expanding operation on distance frequency spectrum of the sub-band echo data on yes judgment; 3 performing SAR imaging operation on the sub-band echo data, and removing an overlapped part of the frequency spectrum by windowing the distance frequency spectrum in the distance compression process when sub-band echo band width is larger than stepping frequency interval; 4 performing direction registering on n sub-images; and 5 performing distance frequency spectrum reconstruction on data of a kth distance line taken from each sub-image, repeating for m times and obtaining two-dimensional images with high range resolution. The method removes influence of sub-band data distance frequency spectrum aliasing and ensures distance frequency spectrum reconstruction to be performed smoothly.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

Radar target identification method based on label maintaining multitask factor analyzing model

The invention discloses a radar target identification method based on a label maintaining multitask factor analyzing model and mainly solves the problem that the prior art is poor in target identification performance under a small sample condition. The radar target identification method includes the steps of firstly, performing normalization and alignment pretreatment on a radar high range resolution profile; secondly, using the preprocessed high range resolution profile to build a label maintaining multitask factor analyzing model; thirdly, performing Gibbs sampling on the parameters of the model, and saving sampling average of the model parameters; fourthly, performing normalization and alignment pretreatment on a to-be-tested sample; fifthly, calculating the frame probability density function value of the to-be-tested sample according to the sampling average, learned by the training steps, of the parameters of the label maintaining multitask factor analyzing model; sixthly, judging the category attribute of the to-be-tested sample according to the frame probability density function value. The radar target identification method has the advantages that supervised learning of the model is achieved, the identification performance under the small sample condition is increased, and the method is applicable to the radar target identification under the small sample condition.
Owner:XIDIAN UNIV +1

BP wideband synthesis method based on MIMO image domain

ActiveCN103472449AAvoid the tedious problem of overlay error correctionDoes not cause orientation ambiguityRadio wave reradiation/reflectionHigh resolution imagingSynthesis methods
The invention discloses a BP wideband synthesis method based on an MIMO image domain. The method is characterized by including the steps of first, transmitting LFM signals with stepped center frequency at the same time by using a plurality of transmitters in an MIMO system, carrying out BP imaging on all received narrow-band echo signals to obtain all low-resolution sub-images, and then carrying out image domain coherent superposition on the multiple low-resolution sub-images to obtain high-range-resolution SAR images. Compared with an existing wideband synthesis method based on a data domain, the BP wideband synthesis method based on the MIMO image domain has the advantages that the step of channel inconsistency error compensation in the wideband synthesis process is greatly simplified, the problem of troublesome sub-band superposition error correction caused by synthesis in the data domain is avoided because wideband synthesis is carried out in the image domain, computing amount is reduced, and high-range-resolution SAR imaging is achieved at the same time. The method can be applied to the technical field of high-range-resolution SAR imaging when system hardware conditions (the instantaneous transmission bandwidth of a transmitting terminal and the sampling rate of a receiver) are limited.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA

SAR system based on frequency modulated continuous wave system as well as processing method thereof

The invention provides an SAR system based on a frequency modulated continuous wave (FMCW) system, comprising a transceiving antenna, a radio frequency module, a digital module and an image processingmodule, the radio frequency module is connected to the transceiving antenna and comprises a transmitting channel, a receiving channel, a frequency source and a power amplifier module; the digital module is connected to the radio frequency module and comprises a control module, a time service module, an AD module and a DA module and a record module; and the image processing module is connected tothe digital module and comprises a motion compensation module and an imaging processing module. The SAR system is built by adopting the FMCW system, main performance parameters of the system are designed based on the FMCW system, the advantages of simple system structure, small size, light weight and low cost are met, and the SAR system also has relatively high range resolution. Meanwhile, the actual application requirement is combined, and a processing method of the radar system is designed, so as to adapt to application requirements in many fields such as military reconnaissance, geologicalexploration, topographic mapping, ocean exploration as well as agriculture and forestry reconnaissance.
Owner:中科宇达(北京)科技有限公司

Novel zero intermediate frequency pulse compression radar system and signal performance compensation method thereof

The invention discloses a novel zero intermediate frequency pulse compression radar system and a signal performance compensation method thereof. Radar echo signals are divided into an I channel and a Q channel after passing through a low noise amplifier and respectively and sequentially pass through a predefined filter and an analog-to-digital converter to be connected to a digital processor, and the digital processor performs pulse compression and signal performance compensation on the signals. The predefined filter is used for filtering frequency bands of the direct current offset and flicker noise of a zero intermediate frequency receiver, and a high-pass filter is used for determining the cut-off frequency by measuring the bandwidth of the frequency band of the flicker noise. According to the novel zero intermediate frequency pulse compression radar system and the signal performance compensation method thereof, a circuit can be made through monolithic integration, the advantage of high range resolution of traditional pulse compression radar is obtained, the deficiency of the performance of the zero intermediate frequency receiver is overcome, and the application to pulse compression radar systems in high demand becomes possible, so that the radar system of high performance, low energy consumption, low cost and small size is obtained; the wide application to small radar systems such as close range automatic safety detection systems and high sensitivity visual signal detectors is also available.
Owner:ZHEJIANG UNIV

Bi-phase inter-pulse coded pulse train radar waveform with batch-to-batch diverse pulse recurrence interval (PRI)

A bi-phase inter-pulse coded pulse train radar waveform with a batch-to-batch diverse pulse recurrence interval (PRI) is characterized in that a pulse waveform has three different PRIs including a T[r1a], a T[r1b] and a T[r1c], and the pulse waveform further has three different sequence recurrence intervals (SRI) including a T[r2a], a T[r2b] and a T[r2c]. U[i] represents a code in a pulse, wherein i=0, ...L-1, and L equals to a length of a coded sequence; R[j] represents a sampling interval for echo receiving, j=0, ...N-1, and N equals to the number of echo range gates; T[p] represents a pulse width, t[b] represents a code width, and the pulse width T[p] equals to L*t[b]; and the R[j] equals to the t[b]. Therefore, the T[rs] of the PRI equal to the t[b], and namely, L+N coded pulses are transmitted circularly in a uniformly-spaced mode, and a space between two adjacent pulses is used for receiving. The bi-phase inter-pulse coded pulse train radar waveform with the batch-to-batch diverse PRI solves the dead zone problem of a even inter-pulse phase coded pulse string, and simultaneously has the advantages of high range resolution, high Doppler resolution, low transmitting power and the like of the even inter-pulse phase coded pulse string.
Owner:NANCHANG UNIV

Non-blind area high-range resolution laser radar wind measurement system and method

The invention provides a non-blind area high-range resolution laser radar wind measurement system. A laser is connected to an electro-optical phase modulator and an acousto-optic frequency shifter through a first coupler; the electro-optic phase modulator, the fiber amplifier, the circulator and the telescope are sequentially connected. The telescope is connected to a second coupler through a circulator; the acousto-optic frequency shifter, the second coupler, a balance detector, an amplifier, a dual-channel AD collection card and a computer are sequentially connected; a sinusoidal signal generator is connected to the acousto-optic frequency shifter; an arbitrary waveform generator is connected to the dual-channel AD collection card and an electro-optical phase modulator; and an external trigger is connected to the arbitrary waveform generator and a dual-channel AD collection card. The invention also provides a non-blind area high-range resolution laser radar wind measurement method. Through combination of the pseudo-random code phase modulation technology and the heterodyne detection technology, the system works under the wide pulse width and the low peak power to obtain the profile wind speed information at the non-blind area with a high-range resolution through adoption of the algorithm of removing an end face signal influence.
Owner:DONGHUA UNIV

ISAR high resolution imaging method based on maximum mutual information criterion

ActiveCN108919263ASolve the problem of not being able to image the targetWell focusedRadio wave reradiation/reflectionHigh resolution imagingAlgorithm
The invention discloses an ISAR high resolution imaging method based on maximum mutual information criterion to mainly solve the problem about high resolution ISAR imaging for a target under clutter and noise. According to the technical scheme, the method comprises the following steps that environment and target information is obtained; optimal transmitting waveform energy spectrum are solved based on the maximum mutual information criterion; imaging signal are modulated based on the energy spectrum; optimized waveform are transmitted and echo thereof are recorded; a distance dictionary is constructed according to the optimized waveform, and optimized waveform echo signal waveform is subjected to the variational bayesian algorithm to reconstruct a range image matrix; and an azimuth dictionary is constructed, and the range image matrix is subjected to the variational bayesian algorithm for reconsitution to obtain targeted high resolution two-dimensional imaging results with excellent focusing effect. Suppression of clutter and noise under clutter and noise is achieved. Targeted and optimized waveform echo mutual information is improved. High resolution two-dimension ISAR imaging results of the target are obtained and are used for target feature extraction and recognition.
Owner:XIDIAN UNIV
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