Patent ID: 8861655
Filing Date: 2014-10-14
Classification: H04L

Abstract:
1. A method of performing structure-based Bayesian sparse signal reconstruction, comprising the steps of: (a) receiving a signal x; (b) establishing an observation vector y and a sensing matrix Ψ such that y=Ψx+n, where n represents complex additive white Gaussian noise; (c) correlating the observation vector y with columns of the sensing matrix Ψ; (d) generating a correlation vector comprised of correlations between the observation vector y with columns of the sensing matrix Ψ above a set threshold value; (e) determining a vector index of the correlation vector with a highest level of correlation and generating a cluster of set length L centered about the vector index with the highest level of correlation; (f) determining a vector index of the correlation vector with the next highest level of correlation and generating a cluster of set length L centered about the vector index with the next highest level of correlation with a correlation above a set correlation threshold κ; (g) repeating step (f) until all possible correlations with a correlation above the set correlation threshold κ are exhausted to form a set of semi-orthogonal clusters; (h) calculating a likelihood of support |S (i) calculating an estimated signal vector x wherein Z