Doa Estimation for Multiple Sparse Sources with Normalized Observation Vector Clustering
Shoko Araki, Hiroshi Sawada, Ryo Mukai, Shoji Makino · 2006
This paper presents a new method for estimating the direction of arrival (DOA) of source signals whose number N can exceed the number of sensors M. Subspace based methods, e.g., the MUSIC algorithm, have been widely studied, however, they are only applicable when M > N. Another conventional independent component analysis based method allows M ges N, however, it cannot be applied when M60= 120 ms)