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Parameter estimation method for OTHR (over-the-horizon radar) maneuvering target based on sparse decomposition of instantaneous autocorrelation matrix

An autocorrelation matrix and maneuvering target technology, applied in the field of parameter estimation of sky-wave radar maneuvering targets, can solve the problems of low parameter estimation accuracy and inability to estimate multiple targets at the same time

Active Publication Date: 2018-03-30
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0005] The purpose of the present invention is to: aim at the above existing problems, propose a method for estimating parameters of OTHR maneuvering targets based on the sparse decomposition of instantaneous autocorrelation matrix, so as to solve the technical problem that the accuracy of parameter estimation is not high due to windowing in existing methods , and the technical problem that existing methods cannot simultaneously estimate multiple targets

Method used

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  • Parameter estimation method for OTHR (over-the-horizon radar) maneuvering target based on sparse decomposition of instantaneous autocorrelation matrix
  • Parameter estimation method for OTHR (over-the-horizon radar) maneuvering target based on sparse decomposition of instantaneous autocorrelation matrix
  • Parameter estimation method for OTHR (over-the-horizon radar) maneuvering target based on sparse decomposition of instantaneous autocorrelation matrix

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Embodiment 1

[0061] Embodiment 1: Motion parameter detection performance.

[0062] This example verifies that the method of the present invention has high parameter estimation accuracy. The number of radar echo sampling points N is 512, and the carrier frequency of the radar is f 0 It is 14768000Hz, and the echo signal sampling period is 12ms. The motion parameters are: v 1 =100m / s, v 2 =20m / s 2 . The normalized mean square error of the target motion parameter estimation is defined as: Among them, K is the number of Monte Carlo experiments, is the estimated value of ω obtained from the kth Monte Carlo experiment.

[0063] figure 1 It is the normalized mean square error curve of the algorithm proposed in the method of the present invention and HAF and RFRFT under different signal-to-noise ratios to the estimation of the maneuvering target acceleration. 100 Monte Carlo tests have been carried out, and the value range of the signal-to-noise ratio is -15dB ~15dB.

[0064] from fig...

Embodiment 2

[0065] Embodiment 2: Multi-target detection.

[0066] This example firstly verifies through the simulation results that when multiple maneuvering targets exist, the method of the present invention does not have the interference of cross items. We take SNR=10dB, and add two maneuvering targets that both accelerate to the echo. When the target trajectory does not intersect, target 1: v 1 =100m / s, v 2 =20m / s 2 , target 2: v 1 =60m / s, v 2 =20m / s 2 ;When the target trajectory crosses, target 1: v 1 =60m / s, v 2 =-9m / s 2 , target 2: v 1 = 30m / s, v 2 =10m / s 2 .

[0067] It can be seen from FIG. 2 that when there are multiple targets, WVD has obvious cross-term interference, but the method of the present invention does not have cross-term interference.

[0068] In order to further verify the multi-target detection capability of the inventive method, the measured data collected by a sky-wave radar in China were selected for signal processing, and the radar operating frequenc...

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Abstract

The invention discloses a parameter estimation method for an OTHR (over-the-horizon radar) maneuvering target based on sparse decomposition of an instantaneous autocorrelation matrix, and belongs to the field of radar technologies. The invention provides a new method for detecting sky-wave radar maneuvering target based on sparse matrix decomposition of an instantaneous autocorrelation matrix in allusion to two problems such as long coherent integration time which results in serious spectrum expansion of the maneuvering target and large beam coverage area which generally has multiple maneuvering targets at the same time in parameter estimation for the sky-wave radar maneuvering target. The method comprises the steps of firstly performing instantaneous autocorrelation transform on echo waves, then performing cross-term suppression on the instantaneous autocorrelation matrix, then performing sparse decomposition on the instantaneous autocorrelation matrix, finally performing Hough transform on the decomposed sparse matrix to obtain the instantaneous frequency of signals, and thus estimating motion parameters of the target. Compared with the existing OTHR maneuvering target parameterestimation method, the method disclosed by the invention has the advantages that the parameter estimation accuracy is high, the target can be detected under a condition that the signal-to-noise ratiois -13dB, and multiple targets can be simultaneously detected.

Description

technical field [0001] The invention belongs to the technical field of radar, and in particular relates to realizing the parameter estimation of sky wave radar maneuvering target by using sparse matrix decomposition. Background technique [0002] Skywave over-the-horizon radar (OTHR) maneuvering target parameter estimation is different from other radars: (1) The coherent accumulation time of OTH is very long (up to more than ten seconds), which leads to Doppler distortion of maneuvering targets. The expansion is more serious, so a higher-precision maneuvering target parameter estimation method has become an urgent need for sky-wave radar; (2) OTHR beam coverage is large (a single beam can cover 800-3500 square kilometers), and there are usually multiple Therefore, the simultaneous detection of multiple maneuvering targets has become an urgent need for sky-wave radar. [0003] Therefore, sky-wave over-the-horizon radar maneuvering target detection has received widespread att...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/02G01S13/00G01S13/522G01S13/58G01S7/41
CPCG01S7/414G01S7/415G01S7/418G01S13/006G01S13/0218G01S13/522G01S13/581G01S2013/0227
Inventor 陈卓蔡雷雷夏玉燕李健萍胡进峰姚冯鲍伟伟
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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