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The frequency estimation problem is studied in this work in the presence of missing measurements. The approach developed in this work is mainly inspired by sparse signal theory. To find a sparse representation of frequency estimation problem, a DFT-like matrix is created in which the frequency sparsity is discovered. The missing measurements are modeled by a sparse representation as well where missing...
This work addresses the problem of direction-of-arrival (DOA) estimation in the presence of sensor's gain and phase uncertainties. The main motivation in our work is to explore the signal sparse property. The DOA sparsity is relatively easy to be discovered since the spectrum of signal is sparse in spatial domain. One existing finding on uncertainty matrix is it is a sparse matrix since it only is...
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