DocumentCode
939376
Title
The recursive suppression algorithm for adaptive superresolution
Author
Torrieri, Don ; Bakhru, Kesh
Author_Institution
US Army Survivability Manage. Office, US Army, Adelphi, MD, USA
Volume
40
Issue
8
fYear
1992
fDate
8/1/1992 12:00:00 AM
Firstpage
926
Lastpage
932
Abstract
The recursive suppression algorithm is an adaptive algorithm that is one of the simplest superresolution algorithms to implement but, nevertheless, converges approximately as rapidly as the computationally intensive MUSIC algorithm. Simulation results verify the effectiveness of this algorithm in resolving closely spaced signals. Necessary and sufficient conditions for the convergence of the mean weight vector in the recursive suppression algorithm are derived
Keywords
adaptive filters; array signal processing; convergence of numerical methods; filtering and prediction theory; adaptive filter; adaptive superresolution; array processing; closely spaced signals; convergence; mean weight vector; recursive suppression algorithm; Adaptive algorithm; Adaptive arrays; Adaptive filters; Adaptive systems; Convergence; Directive antennas; Multiple signal classification; Receiving antennas; Recursive estimation; Signal resolution;
fLanguage
English
Journal_Title
Antennas and Propagation, IEEE Transactions on
Publisher
ieee
ISSN
0018-926X
Type
jour
DOI
10.1109/8.163430
Filename
163430
Link To Document