DocumentCode
2029401
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
Volume
4
fYear
1993
fDate
27-30 April 1993
Firstpage
352
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location
Minneapolis, MN, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.1993.319667
Filename
319667
Link To Document