An Adaptive Diagonal Loading Covariance Matrix Estimator in Spatially Heterogeneous Sea Clutter Article Swipe

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YOU? · · 2015 · Open Access · · DOI: https://doi.org/10.2991/iwmecs-15.2015.93

The most typical method to estimate the covariance matrix of sea clutter by secondary samples is the sample covariance matrix (SCM), implying secondary samples with the same statistical property.The hypothesis established or not depends on whether or not sea clutter is spatially homogeneous.In order to get rid of the hypothesis on secondary samples, a novel covariance matrix estimation algorithm based on adaptive diagonal loading technique is presented.The loading coefficient is a factor to measure the statistical consistency of secondary samples.Experimental results show that, to detect the distributed targets in real sea clutter by generalized likelihood ratio detector (GLRT), the proposed estimator is robust to jamming and the performance improves in different range resolution sea clutter, especially as high as 15dB in 3m range resolution.

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Clutter Covariance matrix Estimator Diagonal Covariance Computer science Mathematics Algorithm Mathematical optimization Statistics Radar Geometry Telecommunications

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Type: article
Language: en
Landing Page: https://doi.org/10.2991/iwmecs-15.2015.93
PDF: https://download.atlantis-press.com/article/25840639.pdf
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DOI: https://doi.org/10.2991/iwmecs-15.2015.93

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Title: An Adaptive Diagonal Loading Covariance Matrix Estimator in Spatially Heterogeneous Sea Clutter

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Language: en

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Publication year: 2015

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Publication date: 2015-01-01

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Authors: Yanling Shi, Xie Xiaoyan

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Landing page: https://doi.org/10.2991/iwmecs-15.2015.93

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Concepts: Clutter, Covariance matrix, Estimator, Diagonal, Covariance, Computer science, Mathematics, Algorithm, Mathematical optimization, Statistics, Radar, Geometry, Telecommunications

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