Journal
IEEE SIGNAL PROCESSING LETTERS
Volume 26, Issue 11, Pages 1623-1627Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LSP.2019.2942146
Keywords
Signal processing algorithms; Direction-of-arrival estimation; Radar tracking; Heuristic algorithms; Signal to noise ratio; Sensor arrays; Smoothing methods; DOA tracking; subspace tracking; difference coarray; PAST; SS-PAST
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Funding
- National Natural Science Foundation of China [61701081]
- Applied Basic Research Program of Sichuan Province [2019YJ0191]
- Fundamental Research Funds for the Central Universities of China [2672018ZYGX2018J003]
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In this letter, we devise a subspace updating algorithm for tracking directions-of-arrival (DOAs) using the difference coarray of a sparse array. Our solution is based on the projection approximation subspace tracking (PAST) framework, where we design new cost function and iterative process via spatial smoothing of the difference coarray output signal. Since the proposed spatial smoothing PAST (SS-PAST) algorithm exploits the aperture of the difference coarray, it attains higher DOA tracking accuracy than the conventional PAST method operating in a uniform linear array. Simulation results demonstrate the effectiveness of the SS-PAST algorithm.
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