Improved closed-form DOA/frequency estimation via ESPRIT using DFT and derivative DFT beamforming
Electrical and Computer Engineering
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Date of Presentation
This paper introduces a new algorithm, Derivative DFT Beamspace ESPRIT, that provides closed-form estimates of the directions-of-arrival (DOAs) of signals impinging on a Uniform Linear Array (ULA). Existing closed-form DOA estimation algorithms for ULAs include TLS-ESPRIT and Root-MUSIC. Derivative DFT Beamspace ESPRIT outperforms TLS-ESPRIT in terms of both estimation accuracy (provides higher quality estimates in low information-to-noise scenarios) and computational complexity (requires less than 40% of the MATLAB flops of TLS-ESPRIT). Root-MUSIC provides better estimates than the other two algorithms mentioned, but requires orders of magnitude more computation than them. Derivative DFT Beamspace ESPRIT improves upon the recently developed DFT Beamspace ESPRIT algorithm by exploiting additional invariances that arise from derivative DFT beamforming. Incorporation of these additional invariances enables Derivative DFT Beamspace ESPRIT to outperform TLS-ESPRIT.
Mathews, C. P.
Improved closed-form DOA/frequency estimation via ESPRIT using DFT and derivative DFT beamforming.
Paper presented at ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings.