A variational Bayes sparse recovery of migrating targets in AR noise
Rodolfo A. S. S. Branco, Stéphanie Bidon · 2018
In this paper, we consider the problem of un-ambiguously estimating migrating targets even that located in blind speeds. We especially focus our attention on developing an algorithm with a low complexity for intensive use on experimental data in presence of diffuse clutter. Accordingly, we describe a variational Bayes sparse recovery based on a previously described hierarchical model (assuming migrating targets amid AR noise). The technique does alleviate ambiguities on real data collected by a wideband radar in a very reasonable amount of time.