Fast SVD-based algorithm for signal selective DOA estimation

The classical formulation of subspace direction of arrival (DOA) estimation algorithms, such as MUSIC, assumes temporally independent source signals and white noise background. If only a subset of source signals are of interest (SOI), a computationally expensive classification procedure should be performed after both DOA parameter estimation and signal extraction steps. In this paper, a simple and robust SVD-based estimation procedure is proposed, making use of an orthogonal two-channel decomposition of sensor signals in the time domain, optimized for the SOI. Simulation results are provided to support the capability of the proposed algorithm of discarding temporally uncorrelated interference and identifying the SOI DOA parameters only, without any need of post-processing