High-resolution DOA estimation based on independent noise component for correlated signal sources
- 114 Downloads
In this article, a modified complex-valued FastICA algorithm is utilized to extract the specific feature of the Gaussian noise component from mixtures so that the estimated component is as independent as possible to the other non-Gaussian signal components. Once the noise basis vector is obtained, we can estimate direction of arrival by searching the array manifold for direction vectors, which are as orthogonal as possible to the estimated noise basis vector especially for highly correlated signals with closely spaced direction. Superior resolution capabilities achieved with the proposed method in comparison with the conventional multiple signal classification (MUSIC) method, the spatial smoothing MUSIC method, and the signal subspace scaled MUSIC method are shown by simulation results.
KeywordsAntenna array Direction of arrival Independent component analysis Permutation ambiguity Correlated signals
The authors would like to thank the anonymous reviewers for their valuable and constructive comments, which helped to improve the presentation of the article. This research was supported by the National Science Council under grant number NSC 95-2221-E-275-001.
- 8.Bingham E, Hyvärinen A (2000) A fast fixed-point algorithm for independent component analysis of complex-valued signals. Int J Neural Syst 10(1):1–8Google Scholar