Title :
On Sparse Methods for Array Signal Processing in the Presence of Interference
Author :
Pazos, Sebastian ; Hurtado, Martin ; Muravchik, Carlos
Author_Institution :
Res. Inst. of Electron., Control & Signal Process., UNLP, La Plata, Argentina
Abstract :
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 error on 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 the performance 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.
Keywords :
Bayes methods; array signal processing; direction-of-arrival estimation; learning (artificial intelligence); DOA; ESBL algorithm; array signal processing; complex envelope; direction of arrival; enhanced sparse Bayesian learning algorithm; estimation error; interference sources; inverse sparse problem; runtime error; uniform linear array; Arrays; Direction-of-arrival estimation; Estimation; Interference; Multiple signal classification; Signal processing algorithms; Vectors; Estimation; interference; sensor arrays; sparse models; sparsity;
Journal_Title :
Antennas and Wireless Propagation Letters, IEEE
DOI :
10.1109/LAWP.2015.2394233
