Title :
On the performance of subspace methods with array model errors and spatial smoothing
Author :
Hari, K.V.S. ; Gummadavelli, Uma
Author_Institution :
Dept. of ECE, Indian Inst. of Sci., Bangalore, India
Abstract :
The effect of spatial smoothing (forward smoothing and forward-backward smoothing) on the performance of subspace methods in the presence of array model errors for direction-of-arrival (DOA) estimation is studied. Theoretical expressions for the mean squared error (MSE) in DOA are obtained, based on a common framework of analysis. Simulations were carried out to substantiate the theory developed. For the cases considered, smoothing improves the performance of the ESPRIT and minimum-norm method while it is not so for the multiple signal classification (MUSIC) technique.<>
Keywords :
array signal processing; error analysis; spatial filters; DOA; ESPRIT; MUSIC; array model errors; direction of arrival estimation; forward smoothing; forward-backward smoothing; mean squared error; multiple signal classification; performance; spatial smoothing; subspace methods;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location :
Minneapolis, MN, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.1993.319667
