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Improved two-dimensional DOA estimation algorithm for two-parallel uniform linear arrays using propagator method
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DOI：10.1016/j.sigpro.2012.06.010.png)
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Abstract
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In this paper, we study the problem of two-dimensional direction-of-arrival (DOA) estimation with two parallel uniform arrays (ULA). The computational loads of the propagator method (PM) can be significantly smaller since the PM does not require any eigen-value decomposition of the cross correlation matrix and singular value decomposition of the received data. We propose an improved two-dimensional DOA estimation algorithm for two-parallel uniform linear arrays using PM. Compared with Wu's algorithm, the proposed algorithm has better angle estimation performance, and lower complexity. Furthermore, the proposed algorithm can achieve automatically paired two-dimensional angle estimation. The simulation results verify the effectiveness of the proposed algorithm. (C) 2012 Elsevier B.V. All rights reserved.
Keywords:
2-D DOA estimation
Two parallel uniform arrays
Propagator method
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