On exploring SVDSPM algorithm for more accurate DOA estimation of low altitude target
Hui Xiao, Jun Tang Yuan · 2010
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.