Theoretical and Experimental Comparison of Off-Grid Sparse Bayesian Direction-of-Arrival Estimation Algorithms
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DOI: 10.1109/access.2017.2747153
Abstract: Off-grid sparse Bayesian learning algorithms for estimating the directions-of-arrival (DOAs) of multiple signals using an array of sensors are attractive in practice due to three primary reasons. First, these algorithms are fully automatic Bayesian algorithms… read more here.
Keywords: grid sparse; ogsbl algorithm; sparse bayesian; estimation algorithms ... See more keywords