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The joint sparse representation of array covariance matrices (JSRACM) approach in direct position transforms the source position estimation problem into a spatial sparse signal representation (SSSR) optimization problem. With a novel binary sparse indicative vector (SIV) representing the support of joint SSSR of array covariance matrices, this SIVR-JSRACM algorithm presents high resolution, low computing...
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