An Adaptive Diagonal Loading Covariance Matrix Estimator in Spatially Heterogeneous Sea Clutter
- DOI
- 10.2991/iwmecs-15.2015.93How to use a DOI?
- Keywords
- diagonal loading; covariance matrix estimator; heterogeneous sea clutter; radar target detection
- 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.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yanling Shi AU - Xiaoyan Xie PY - 2015/10 DA - 2015/10 TI - An Adaptive Diagonal Loading Covariance Matrix Estimator in Spatially Heterogeneous Sea Clutter BT - Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences PB - Atlantis Press SP - 466 EP - 471 SN - 2352-538X UR - https://doi.org/10.2991/iwmecs-15.2015.93 DO - 10.2991/iwmecs-15.2015.93 ID - Shi2015/10 ER -