Zero-Forcing Based Sequential Music Algorithm

Many works has been made in the context of the recursive or sequential MUSIC algorithm for bearing estimation. Indeed, in some difficult scenarios as for closely spaced bearings, correlated sources and at low SNRs, the accuracy of the MUSIC algorithm can be improved by sequentially cancel the previous estimated bearings. In this paper, we propose a new algorithm, called zero-forcing based sequential MUSIC, which efficiently tackles this problem.