DocumentCode
873716
Title
A note on spatially weighted subarray covariance averaging schemes
Author
Raghunath, K.J. ; Reddy, V.U.
Author_Institution
Dept. of Electr. Commun. Eng., Indian Inst. of Sci., Bangalore, India
Volume
40
Issue
6
fYear
1992
fDate
6/1/1992 12:00:00 AM
Firstpage
720
Lastpage
723
Abstract
In spatial smoothing, the effective correlation among the impinging sources goes to zero only asymptotically with the number of subarrays. K. Takao and N. Kimura (ibid., vol.AP-35, p.1389-96, Dec. 1987) and A. Paulraj et al. (IEEE J. Ocean Eng., vol.OE-12, p.163-72, Jan. 1987) proposed Toeplitzization and adaptively weighted subarray covariance averaging methods, respectively, wherein the impinging sources are perfectly decorrelated whenever the number of subarrays exceeds a minimum value. While both methods achieve the same result, the formulations of the two methods are different. The present work first suggests an alternate formulation of the same problem and then compares the three methods showing that the solutions obtained by them are equivalent
Keywords
correlation methods; signal processing; Toeplitzization; array processing; correlation; impinging sources; signal processing; subarray covariance averaging; weighted spatial smoothing; Additive white noise; Antenna arrays; Array signal processing; Covariance matrix; Decorrelation; Multiple signal classification; Sensor arrays; Smoothing methods; Vectors;
fLanguage
English
Journal_Title
Antennas and Propagation, IEEE Transactions on
Publisher
ieee
ISSN
0018-926X
Type
jour
DOI
10.1109/8.144607
Filename
144607
Link To Document