A new subband information fusion method for wideband DOA estimation using sparse signal representation

We present a new subband information fusion (SIF) method for wideband direction-of-arrival (DOA) estimation using single sparse signal representation of multiple frequency-based measurement vectors. The problem of wideband DOA estimation using SIF method is to jointly utilize all the frequency bin information to recover a single sparse indicative vector (SIV). The SIF method belongs to the sparse signal representation domain and therefore it will suffer from two cases of ambiguity: algebraic aliasing and spatial aliasing. We show that these two categories of ambiguity can be reduced by combining all the frequency components. The SIF algorithm is then proposed and the SIV is recovered iteratively. The numerical simulations are performed to illustrate that the SIF method has superior performances.