Abstract
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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