TY - GEN
T1 - Computationally efficient subspace-based method for direction estimation and tracking in array processing
AU - Xin, Jingmin
AU - Ohashi, Yoji
AU - Sano, Akira
N1 - Publisher Copyright:
© 2004 EUSIPCO.
PY - 2015/4/3
Y1 - 2015/4/3
N2 - In this paper, we propose a new computationally efficient subspace-based method without eigendecomposition (SUMWE) for the direction-of-arrival (DOA) estimation of narrowband signals impinging on a uniform linear array (ULA) by exploiting the array geometry and its shift invariance property. Further an adaptive implementation of the SUMWE is presented for tracking the time-varying directions of slowly moving (relative to the sampling rate) signals. The effectiveness of the proposed algorithm is verified through numerical examples, and it is shown that the proposed algorithm is computationally simple and has a good tracking performance.
AB - In this paper, we propose a new computationally efficient subspace-based method without eigendecomposition (SUMWE) for the direction-of-arrival (DOA) estimation of narrowband signals impinging on a uniform linear array (ULA) by exploiting the array geometry and its shift invariance property. Further an adaptive implementation of the SUMWE is presented for tracking the time-varying directions of slowly moving (relative to the sampling rate) signals. The effectiveness of the proposed algorithm is verified through numerical examples, and it is shown that the proposed algorithm is computationally simple and has a good tracking performance.
UR - https://www.scopus.com/pages/publications/84979896326
M3 - 会议稿件
AN - SCOPUS:84979896326
T3 - European Signal Processing Conference
SP - 2175
EP - 2178
BT - 2004 12th European Signal Processing Conference, EUSIPCO 2004
PB - European Signal Processing Conference, EUSIPCO
T2 - 12th European Signal Processing Conference, EUSIPCO 2004
Y2 - 6 September 2004 through 10 September 2004
ER -