On exploring SVDSPM algorithm for more accurate DOA estimation of low altitude target

There exits SVDSPM (Singular Value Decomposition based on Signal Phase Matching Principle) algorithm for direction of arrival (DOA) estimation. Our aim is to present a different SVDSPM algorithm for more accurate estimation of low altitude target. So a void reference sensor is used to explore the possibility of better performance. In the full paper, VRS-SVDSPM (SVDSPM Using a Void Reference Sensor) algorithm and pertinent experimental research are explained in mush detail; here only a briefing is given. The following two topics are discussed: (1) the time delay formula and VRS-SVDSPM algorithm, with the void reference sensor located on the minus of z-axes; (2) analysis of experimental results. The results show preliminarily that: (1) VRS-SVDSPM algorithm can estimate low altitude target when CBF (Conventional Beamforming) and MUSIC (Multiple Signal Classification) can not; (2) the side lobe with VRS-SVDSPM is lower compared with that with CBF; (3) with VRS-SVDSPM algorithm, the bias of azimuth is 0.6 degree and the bias of elevation is 2.4 degree.