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| A FOURTH-ORDER CUMULANT BASED RECURSIVE APPROACH TO DOA ESTIMATION WITH SPARSITY CONSTRAINT |
| Wan Qun; Yang Wanlin |
| University of Electronic Science and Technology of China Chengdu 610054 |
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Abstract One disadvantage with subspace-based DOA estimate method is that it is difficult to incorporate prior knowledge of the signal correlation into the eigen-decomposition. Herein, an estimator that combines ideas from subspace and four-order cumulant matching method is proposed, which makes it possible to incorporate the prior knowledge of signal correlation and sparsity of the DOA estimation into the estimator. Theoretical analysis and numerical results illustrate the robust and high resolution character of the estimator.
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Received: 29 September 1999
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2001, Vol. 23 
