On Sparse Methods for Array Signal Processing in the Presence of Interference

S. PAZOS; M. HURTADO; C. MURAVCHIK

IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Lugar: New York; Año: 2015 vol. 14 p. 1165 - 1168

1536-1225

We analyze the performance of several algorithms designed to solve the inverse sparse problem when they are applied to array signal processing. Specifically we study the erroron the estimation of the complex envelope and the direction of arrival of signals of interest in the presence of interference sources using a uniform linear array. In particular, we compare theperformance of the Enhanced Sparse Bayesian Learning (ESBL) algorithm against different algorithms tailored to this scenario. Since the former exploits interference information to diminish its unwanted effects, we find that it provides a reasonable tradeoff between runtime and estimation error