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Published in:
2012 | OriginalPaper | Chapter
A Fast Algorithm for DOA Estimation Based on Fourth-Order Cumulants
Authors : Huijing Dou, Guopeng Li, Jianchao Shi
Published in: Recent Advances in Computer Science and Information Engineering
Publisher: Springer Berlin Heidelberg
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This paper proposes a novel direction of arrival (DOA) estimation algorithm that can rapidly estimate the DOAs of incidence signals. The conventional multiple signal classification (MUSIC) algorithm should perform an eigenvalue-decomposition which has high computational complexity. In addition, the MUSIC algorithm can’t be used under complex noise environment. In contrast, the novel algorithm can rapidly obtain the signal subspace from a submatrix of a contracted quadricovariance fourth-order cumulants matrix and avoid eigenvalue decomposition. Computer simulation results show that the method is effective and still has good performance under colored Gaussian noise, non-Gaussian noise with symmetrical distributing and white noise because of the use of fourth-order cumulants.