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
fDate :
30 Sep-3 Oct 1990
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;
Conference_Titel :
Military Communications Conference, 1990. MILCOM '90, Conference Record, A New Era. 1990 IEEE
Conference_Location :
Monterey, CA
DOI :
10.1109/MILCOM.1990.117492