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High resolution direction of arrival (DOA) estimation algorithms based on the subspace decomposition received considerable attention while rarely used in the practical applications. One of the reasons is its difficulty to resolve closely spaced signals in low signal-to-noise ratio (SNR). For applications of closely spaced signals within a priori known angle range, we filter the spectrum in direction...
In this paper, a new direction of arrival (DOA) estimation method is proposed based on the sparse presentation of array covariance matrix of a difference co-array, which is obtained by exploiting fourth order cumulants. The DOAs are estimated by finding the sparsest solution in a redundant basis. We also give a theoretical guidance to select the regularization parameter. Since fourth order cumulants...
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