Journal
IEEE SENSORS JOURNAL
Volume 16, Issue 14, Pages 5660-5670Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2016.2567422
Keywords
Co-prime planar array; direction-of-arrival estimation; multiple signal classification (MUSIC); phase ambiguity; partial spectral search
Funding
- National Natural Science Foundation of China [61501510, 61301160]
- Natural Science Foundation of Jiangsu Province [BK20150717]
- China Postdoctoral Science Foundation Funded Project
- Jiangsu Planned Projects for Postdoctoral Research Funds
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In this paper, we investigate the issue of 2-D direction-of-arrival (DOA) estimation of multiple signals in co-prime planar arrays, where phase ambiguity problem arises due to the large distance between adjacent elements for each subarray. According to the co-prime characteristic, the ambiguity problem can be eliminated by searching for the common peaks of the spatial spectrum of each subarray, where the spectrum search involves a tremendous computation burden. In this paper, we exploit the property that all the ambiguous peaks for each DOA are uniformly distributed in a new transformed domain. Relying on the linear relations, we propose a partial spectral search (PSS)-based estimation method, where it involves a limited search over only a small sector. Therefore, the proposed PSS method is very computationally efficient. Numerical results are provided to verify the effectiveness of the proposed method over the state-of-the-art methods, in terms of both computational complexity and estimation accuracy.
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