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A new approach to super resolution line spectrum estimation in both temporal and spatial domain using a coprime pair of samplers is proposed. Two uniform samplers with sample spacings MT and NT are used where M and N are coprime and T has the dimension of space or time. By considering the difference set of this pair of sample spacings (which arise naturally in computation of second order moments),...
This paper presents a method of sparse signal decomposition that is based on generalized Cauchy-prior distribution and generalized t-prior distribution instead of the Laplace-prior and Cauchy-prior distribution. These generalized distributions have strong characteristic of super-Gaussian. It takes full advantage of the sparse property of spatial spectrum to estimate the direction of arrival (DOA)...
Based on fourth-order cumulant, a new method is proposed to estimate the frequency and 2-D arrival angles of coherent signals, which is called cumulant-based time-space smoothing (CTSS) algorithm. Firstly a time-space smoothing matrix is constructed by temporal and spatial data of two uniform parallel linear arrays, and then 3-D parameters of coherent signals can be obtained from its eigenvalues and...
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