Average SCR loss analysis for polarimetric STAP with Kronecker structured covariance matrix
Yikai Wang, Wei Xia, Zishu He, Hongbin Li, Athina P. Petropulu
Abstract
The paper presents the average signal-to-clutter loss (SCRL) analysis for polarimetric space-time adaptive processing by exploiting the Kronecker structure of the clutter covariance matrix (CM). An expression for the average SCRL as a function of the mean square error of the corresponding CM estimator is derived. Based on that expression, one can determine how many samples are required in order to achieve a desired SCRL. The proposed average SCRL analysis methodology can be extended to more general scenarios, where closedform CM estimates are not available. Simulations indicate that even in the non-asymptotic regime, the proposed method can provide a good prediction of the average SCRL.
BibTeX
@inproceedings{icassp2017_averagescrlossan,
title = {Average SCR loss analysis for polarimetric STAP with Kronecker structured covariance matrix},
author = {Yikai Wang and Wei Xia and Zishu He and Hongbin Li and Athina P. Petropulu},
booktitle = {ICASSP 2017},
year = {2017}
}