Title :
Performance degradation of DOA estimators due to unknown noise fields
Author :
Li, Fu ; Vaccaro, Richard J.
Author_Institution :
Dept. of Electr. Eng., Portland State Univ., Portland, OR, USA
Abstract :
A statistical performance analysis of subspace-based direction-of-arrival (DOA) estimation algorithms in the presence of correlated observation noise with unknown covariance is presented. This analysis of five different estimation algorithms is unified by a single expression for the mean-squared DOA estimation error which is derived using a subspace perturbation expansion. The analysis assumes that only finite amount of array data is available
Keywords :
noise; signal processing; statistical analysis; DOA estimation algorithms; array data; correlated observation noise; mean-squared DOA estimation error; noise fields; statistical performance analysis; subspace perturbation expansion; unknown covariance; Algorithm design and analysis; Background noise; Colored noise; Crosstalk; Degradation; Direction of arrival estimation; Interference; Performance analysis; Radar scattering; Sensor arrays;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.150692
