Title :
Performance breakdown of subspace-based methods in arbitrary antenna arrays: GLRT-based prediction and cure
Author :
Abramovich, Y.I. ; Spencer, N.K.
Author_Institution :
Intelligence, Surveillance & Reconnaissance Div., Defence Sci. & Technol. Organ. (DSTO), Edinburgh, Australia
Abstract :
We continue to develop a technique based on the generalised likelihood-ratio test (GLRT) that is capable of identifying and rectifying direction-of-arrival (DOA) estimation outliers that arise with the use of any subspace-based DOA estimation technique. While our previously introduced likelihood ratio (LR) maximisation techniques relied upon specific properties of an assumed Toeplitz covariance matrix, we now introduce a technique applicable to arbitrary antenna array geometries.
Keywords :
antenna arrays; array signal processing; direction-of-arrival estimation; optimisation; statistical distributions; DOA estimation; GLRT-based prediction; Toeplitz matrix; arbitrary antenna arrays; covariance matrix; direction-of-arrival estimation; generalised likelihood-ratio test; likelihood ratio maximisation techniques; outliers; subspace-based methods; Antenna arrays; Australia; Covariance matrix; Direction of arrival estimation; Electric breakdown; Geometry; Intelligent sensors; Linear antenna arrays; Maximum likelihood estimation; Sensor arrays;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326208