Whitening Degree Evaluation Method to Test Estimate Accuracy of Speckle Covariance Matrix

In the background of sea clutter, the accuracy of adaptive target detection is heavily influenced by the estimated performance of speckle covariance matrix. Generally, Normalized Frobenius Norm (NFN) is used to test the estimated accuracy of different speckle covariance matrix estimators, in which t...

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Main Authors: Yu Han, Shui Penglang, Yang Chunjiao, Shi Sainan
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2017-06-01
Series:Leida xuebao
Subjects:
Online Access:http://radars.ie.ac.cn/CN/html/20170307.htm
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author Yu Han
Shui Penglang
Yang Chunjiao
Shi Sainan
author_facet Yu Han
Shui Penglang
Yang Chunjiao
Shi Sainan
author_sort Yu Han
collection DOAJ
description In the background of sea clutter, the accuracy of adaptive target detection is heavily influenced by the estimated performance of speckle covariance matrix. Generally, Normalized Frobenius Norm (NFN) is used to test the estimated accuracy of different speckle covariance matrix estimators, in which the requirement of a known real covariance matrix is hardly realized in the radar system. Therefore, in this study, a whitening degree evaluation method is proposed wherein the decorrelation of speckle covariance matrix in whitening filter processing of the radar system is fully exploited. It considers the correlation degree among pulses in the whitening clutter vector as the criterion to evaluate the estimate error of the speckle covariance matrix. The proposed method shows consistent conclusions with NFN on simulated data and also avoids limitations of the latter method in real data processing.
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spelling doaj.art-fe3adc4dc9bf4fbb86f51525346e28e62023-12-02T02:37:36ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2095-283X2017-06-016328529110.12000/JR16146Whitening Degree Evaluation Method to Test Estimate Accuracy of Speckle Covariance MatrixYu HanShui PenglangYang ChunjiaoShi SainanIn the background of sea clutter, the accuracy of adaptive target detection is heavily influenced by the estimated performance of speckle covariance matrix. Generally, Normalized Frobenius Norm (NFN) is used to test the estimated accuracy of different speckle covariance matrix estimators, in which the requirement of a known real covariance matrix is hardly realized in the radar system. Therefore, in this study, a whitening degree evaluation method is proposed wherein the decorrelation of speckle covariance matrix in whitening filter processing of the radar system is fully exploited. It considers the correlation degree among pulses in the whitening clutter vector as the criterion to evaluate the estimate error of the speckle covariance matrix. The proposed method shows consistent conclusions with NFN on simulated data and also avoids limitations of the latter method in real data processing.http://radars.ie.ac.cn/CN/html/20170307.htmCovariance matrix estimationWhitening degree evaluationNormalized Frobenius Norm (NFN)Real covariance matrix
spellingShingle Yu Han
Shui Penglang
Yang Chunjiao
Shi Sainan
Whitening Degree Evaluation Method to Test Estimate Accuracy of Speckle Covariance Matrix
Leida xuebao
Covariance matrix estimation
Whitening degree evaluation
Normalized Frobenius Norm (NFN)
Real covariance matrix
title Whitening Degree Evaluation Method to Test Estimate Accuracy of Speckle Covariance Matrix
title_full Whitening Degree Evaluation Method to Test Estimate Accuracy of Speckle Covariance Matrix
title_fullStr Whitening Degree Evaluation Method to Test Estimate Accuracy of Speckle Covariance Matrix
title_full_unstemmed Whitening Degree Evaluation Method to Test Estimate Accuracy of Speckle Covariance Matrix
title_short Whitening Degree Evaluation Method to Test Estimate Accuracy of Speckle Covariance Matrix
title_sort whitening degree evaluation method to test estimate accuracy of speckle covariance matrix
topic Covariance matrix estimation
Whitening degree evaluation
Normalized Frobenius Norm (NFN)
Real covariance matrix
url http://radars.ie.ac.cn/CN/html/20170307.htm
work_keys_str_mv AT yuhan whiteningdegreeevaluationmethodtotestestimateaccuracyofspecklecovariancematrix
AT shuipenglang whiteningdegreeevaluationmethodtotestestimateaccuracyofspecklecovariancematrix
AT yangchunjiao whiteningdegreeevaluationmethodtotestestimateaccuracyofspecklecovariancematrix
AT shisainan whiteningdegreeevaluationmethodtotestestimateaccuracyofspecklecovariancematrix