@inproceedings{oai:niigata-u.repo.nii.ac.jp:00030945, author = {Suzuki, Junichiro and Shoji, Yoshikazu and Yamada, Hiroyoshi and Yamaguchi, Yoshio and Tanabe, Masahiro}, book = {International Symposium on Antennas and Propagation, International Symposium on Antennas and Propagation}, issue = {3A1a-2}, month = {Nov}, note = {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.}, pages = {1--5}, publisher = {The Institute of Electronics, Information and Communication Engineers}, title = {Rank Selection Algorithm with a Cross-Correlation Coefficient for the Multistage Wiener Filter}, volume = {2006}, year = {2006} }