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To cope with the formidable sampling rate required by Nyquist criterion, compressive sensing (CS) has been recently adopted for ultrawideband (UWB) channel estimation. In this paper, exploiting the statistical sparsity of real UWB signals in the basis formed by eigenvectors, we develop a new CS dictionary called eigendictionary, which enables the use of CS for UWB channel estimation. With respect...
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