Robust Direction-of-Arrival Estimation Using Array Feedback Beamforming in Low SNR Scenarios

A new spatial IIR beamformer based direction-of-arrival (DoA) estimation method is proposed in this paper. We propose a retransmission based spatial feedback method for an array of transmit and receive antennas that improves the performance parameters of a beamformer viz. half-power beamwidth (HPBW), side-lobe suppression, and directivity. Through quantitative comparison we show that our approach outperforms the previous feedback beamforming approach with a single transmit antenna, and the conventional beamformer. We then incorporate a retransmission based minimum variance distortionless response (MVDR) beamformer with the feedback beamforming setup. We propose two approaches, show that one approach is superior in terms of lower estimation error, and use that as the DoA estimation method. We then compare this approach with Multiple Signal Classification (MUSIC), Estimation of Parameters using Rotation Invariant Technique (ESPRIT), robust MVDR, nested-array MVDR, and reduced-dimension MVDR methods. The results show that at SNR levels of -60 dB to -10 dB, the angle estiation error of the proposed method is 20(?) less compared to that of prior methods.

Automated summary

A new spatial IIR beamformer based direction-of-arrival (DoA) estimation method is proposed, which improves the performance parameters of a beamformer. The proposed method outperforms the previous feedback beamforming approach and the conventional beamformer. By incorporating a retransmission based minimum variance distortionless response (MVDR) beamformer, the proposed method achieves lower estimation error compared to prior methods such as MUSIC, ESPRIT, robust MVDR, nested-array MVDR, and reduced-dimension MVDR methods, especially at low SNR levels.