期刊
IEEE TRANSACTIONS ON SIGNAL PROCESSING
卷 64, 期 17, 页码 4493-4503出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSP.2016.2557312
关键词
Incoherently distributed sources; subspace; rank reduction; nominal DOA estimation; angular spread estimation
资金
- National Natural Science Foundation of China [61422109, 61531011, 61371169]
- National Mobile Communications Research Laboratory, Southeast University [2015D03]
- Funding for Outstanding Doctoral Dissertation in NUAA [BCXJ15-03]
- Jiangsu Innovation Program for Graduate Education [KYLX15_0281]
- Fundamental Research Funds for the Central Universities
This paper proposes a new algorithm to estimate the nominal direction-of-arrival (DOA) and the angular spread of multiple incoherently distributed (ID) sources. With the general array manifold (GAM) model, the nominal DOAs are first separated from the original array manifold. Then, a generalized shift invariance property inside the array manifold is identified, based on which the nominal DOAs are obtained when the rank of a trickily formulated matrix drops. Next, the angular spreads are estimated from the central moments of the angular distribution. We also derive a polynomial rooting based search-free method for nominal DOA estimation. This method can greatly reduce the computational complexity. As compared with the popular ESPRIT-ID algorithm, the proposed algorithm can achieve higher accuracy, can handle more sources, and applies to a more general array structure. Extensive simulations are provided to demonstrate the superior performance of the proposed algorithm over the existing works.
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