@inproceedings{fa018e5c68ec4232ac5a12b3376fa5ec,
title = "Subspace-based adaptive direction estimation and tracking in multipath environment",
abstract = "A new computationally efficient subspace-based algorithm is proposed for estimating and tracking the directions of coherent narrowband signals impinging on a uniform linear array (ULA). Specifically the null space is estimated using the least-mean-square (LMS) or normalized LMS (NLMS) algorithm, and the directions are updated using the approximate Newton method. By studying the convergence analyses of the LMS and NLMS algorithms, where the {"}weight{"} is in the form of a matrix and there is a correlation between the {"}additive noise{"} and {"}input data{"} in the updating equation, the step-size stability conditions are derived explicitly. Further the tracking of crossing directions of moving signals is considered. The theoretical analyses and effectiveness of the proposed algorithm are verified.",
author = "Jingmin Xin and Naoyuki Hirosaki and Hiroyuki Tsuji and Yoji Ohashi and Akira Sano",
year = "2005",
doi = "10.1109/ICASSP.2005.1416169",
language = "英语",
isbn = "0780388747",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "IV957--IV960",
booktitle = "2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Signal Proces. Education, Spec. Sessions",
note = "2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 ; Conference date: 18-03-2005 Through 23-03-2005",
}