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A novel classification and localization algorithm is proposed for scenarios where both far-field and near-field sources may exist simultaneously. By exploiting the property of the Toeplitz structure associated with the far-field covariance matrix, the covariance differencing technique is first carried out to eliminate the far-field components. That is, the pure near-field components can be obtained...
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