Title :
An eigenanalysis interference canceler
Author :
Haimovich, Alexander M. ; Bar-Ness, Yeheskel
Author_Institution :
JJM Syst. Inc., Warminster, PA, USA
fDate :
1/1/1991 12:00:00 AM
Abstract :
Eigenanalysis methods are applied to interference cancellation problems. While with common array processing methods the cancellation is effected by global optimization procedures that include the interferences and the background noise, the proposed technique focuses on the interferences only, resulting in superior cancellation performance. Furthermore, the method achieves full effectiveness even for short observation times, when the number of samples used for processing is of the the order of the number of interferences. Adaptive implementation is obtained with a simple, fast converging algorithm
Keywords :
adaptive filters; eigenvalues and eigenfunctions; filtering and prediction theory; interference suppression; signal processing; adaptive implementation; array processing; eigenanalysis methods; fast converging algorithm; interference cancellation; Array signal processing; Background noise; Direction of arrival estimation; Interference cancellation; Jamming; Noise cancellation; Optimization methods; Sensor arrays; Signal to noise ratio; Steady-state;
Journal_Title :
Signal Processing, IEEE Transactions on