Summary
International Symposium on Antennas and Propagation
2006
Session Number:3A1a
Session:
Number:3A1a-2
Rank Selection Algorithm with a Cross-Correlation Coefficient for the Multistage Wiener Filter
Junichiro Suzuki, Yoshikazu Shoji, Hiroyoshi Yamada, Yoshio Yamaguchi, Masahiro Tanabe,
pp.1-5
Publication Date:2006/11/2
Online ISSN:2188-5079
Summary:
The multistage Wiener filter(MWF) is a reduced rank algorithm for the space-time adaptive processing(STAP). In environments with low sample support, the performance of the MWF is better than the full rank Wiener filter, but MWF stage analysis has to be operated at the optimum rank. When it is not operated at the optimum rank, it leads performance degradation. In this paper we introduce a new rank selection algorithm with a cross-correlation coefficient that can stop at the optimum rank. Since the proposed algorithm does not have to calculate the evaluation function to use a scalar coefficient of weight derivation process, the computational complexity is more advantageous than other algorithm. Here, we evaluate its performance by simulation examples, and show the effectiveness.