Adaptive Algorithms for Estimating and Suppressing Narrow-Band Interference in PN Spread-Spectrum Systems

Abstract

Results of an investigation of algorithms for estimating and suppressing narrow-band interference in pseudonoise (PN) spread-spectrum digital communication systems are presented. Techniques for determining the coefficients of a linear, interference suppression filter are described, which are based on linear prediction and conventional spectral analysis methods. Numerical results are presented on the characteristics of the linear filter and on its effectiveness in suppressing the interference. The error rate performance of a receiver that employs the interference suppression filter followed by a PN correlator is determined based on the assumption that the combined noise and residual interference at the output of the PN correlator is Gaussian distributed. Performance results obtained by Monte Carlo simulation are also presented and compared with theoretical results.