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Direction-of-Arrival Estimation Via Real-Valued Sparse Representation
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DOI：10.1109/LAWP.2013.2252415.png)
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摘要
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Sparse representation direction-of-arrival (DOA) estimation methods exhibit many advantages over other DOA estimation methods. However, they suffer from a high computational complexity. This letter describes a real-valued sparse representation method through utilizing a unitary transformation that can convert complex-valued manifold matrices of uniform linear arrays (ULAs) into real ones. Due to this transformation, the computational complexity is decreased by a factor of at least four. The letter also shows that the proposed method has a better noise suppression because of exploiting an additional real structure. Therefore, it outperforms the original method, especially when signal-to-noise ratio (SNR) is low. Simulation results verify the performance improvement of the proposed method.
Keyword:
Direction of arrival (DOA)
real-valued transformation
sparse representation
uniform linear array (ULA)
期刊
IF:
4.8
论文数:
1.0W
被引数:
2.8W
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