@inproceedings{bcca3cd42b2c4bb095bae95189d078c4,
title = "Average SCR loss analysis for polarimetric STAP with Kronecker structured covariance matrix",
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.",
keywords = "Average SCR Loss, Cram{\'e}r-Rao Bound, Kronecker Structure, Polarimetric STAP",
author = "Yikai Wang and Wei Xia and Zishu He and Hongbin Li and Petropulu, {Athina P.}",
note = "Funding Information: This work is supported in part by China Scholarship Council (CSC), and the Natural Science Foundation of China (Grant No. 61671137, 61671139 and 61401062). Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 ; Conference date: 05-03-2017 Through 09-03-2017",
year = "2017",
month = jun,
day = "16",
doi = "10.1109/ICASSP.2017.7952749",
language = "English (US)",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3211--3215",
booktitle = "2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings",
address = "United States",
}