Title :
A novel algorithm for 2-D DOA estimation in the presence of impulsive noise
Author :
Lu, Ze-Jun ; Xiao, Xian-Ci ; Tai, Heng-Ming
Author_Institution :
Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
This paper presents a particular array configuration and the cross-covariation matrices for the subarray sensor outputs. Additionally, a new subspace-based two-dimensional (2-D) bearing estimation algorithm using fractional lower order statistics is proposed. This algorithm estimates the 2-D directions-of-arrival of array sensor signals in the presence of impulsive noise, and can be modeled as a complex symmetric alpha-stable (SαS) process. It exploits the infinite pth-moments for p ≥ α and finite fractional pth-order moments for 1 < p < α for SαS processes. The algorithm is robust against additive SαS noise. Simulation results show the feasibility and effectiveness of the proposed algorithm.
Keywords :
array signal processing; direction-of-arrival estimation; eigenvalues and eigenfunctions; impulse noise; 2D DOA estimation; array configuration; array sensor signals; bearing estimation algorithm; complex symmetric alpha-stable process; cross-covariation matrices; fractional lower order statistics; impulsive noise; subarray sensor outputs; 1f noise; Covariance matrix; Direction of arrival estimation; Gaussian noise; Industrial electronics; Maximum likelihood estimation; Sensor arrays; Signal processing; Statistics; Symmetric matrices;
Conference_Titel :
Circuits and Systems, 2002. MWSCAS-2002. The 2002 45th Midwest Symposium on
Print_ISBN :
0-7803-7523-8
DOI :
10.1109/MWSCAS.2002.1186960
