DocumentCode
3116081
Title
An adaptive superresolution algorithm and its application to interference suppression
Author
Bakhru, Kesh ; Torrieri, Don
Author_Institution
Cubic Defense Syst. Inc., San Diego, CA, USA
fYear
1990
fDate
30 Sep-3 Oct 1990
Firstpage
637
Abstract
An adaptive superresolution algorithm, called the signal suppression algorithm, is derived and analyzed. The algorithm, which controls an adaptive filter, is derived by the method of steepest descent with the constrained minimization of the filter output power as the performance criterion. Computer simulation results verify the effectiveness of the algorithm in resolving closely spaced signals. Several methods of applying the algorithm to the suppression of interface are described
Keywords
adaptive filters; digital filters; interference suppression; signal processing; adaptive filter; adaptive superresolution algorithm; closely spaced signals; computer simulation; constrained minimization; filter output power; interference suppression; signal suppression algorithm; Adaptive algorithm; Adaptive arrays; Adaptive filters; Antenna arrays; Degradation; Directive antennas; Interference suppression; Phased arrays; Signal processing; Signal resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Military Communications Conference, 1990. MILCOM '90, Conference Record, A New Era. 1990 IEEE
Conference_Location
Monterey, CA
Type
conf
DOI
10.1109/MILCOM.1990.117492
Filename
117492
Link To Document