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
fDate :
8/1/1992 12:00:00 AM
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;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
