Title :
Robust direction-of-arrival estimation in non-Gaussian noise
Author :
Yardimci, Yasemin ; çetin, A. Enis ; Cadzow, James A.
Author_Institution :
Dept. of Electr. Eng., Bilkent Univ., Ankara, Turkey
fDate :
5/1/1998 12:00:00 AM
Abstract :
A nonlinearly weighted least-squares method is developed for robust modeling of sensor array data, weighting functions for various observation noise scenarios are determined using maximum likelihood estimation theory. The computational complexity of the new method is comparable with the standard least-squares estimation procedures. Simulation examples of direction-of-arrival estimation are presented
Keywords :
computational complexity; direction-of-arrival estimation; least squares approximations; maximum likelihood estimation; noise; Gaussian noise; computational complexity; direction-of-arrival estimation; least-squares estimation; maximum likelihood estimation theory; nonGaussian noise; nonlinearly weighted least-squares method; observation noise; robust DOA estimation; robust modeling; sensor array data; simulation; weighting functions; Bayesian methods; Covariance matrix; Degradation; Direction of arrival estimation; Mean square error methods; Noise robustness; Sensor arrays; Signal processing algorithms; Signal to noise ratio; Speech processing;
Journal_Title :
Signal Processing, IEEE Transactions on
