Performance Analysis of DSSS System Using Adaptive Filters in Interference Prone Environment

摘要

Direct Sequence Spread Spectrum (DSSS) communication techniques offer a promising solution to an overcrowded spectrum amid growing demand for mobile and personal communication services. In mobile and personal communication systems, DSSS systems share the same frequency band with the existing narrow band frequency communication system. Therefore the performance would inevitably be affected by narrow band interference (NBI). In this paper, we present an interference suppression method in Direct Sequence Spread Spectrum (DSSS) systems using adaptive filters. Demonstrated by MATLAB simulation results, the method significantly improves the performance of DSSS receiver serving at the narrow band interference environment. The improvement of resulting BER after NBI suppression will further enhance along with the increasing of interference intensities. Compared with Least Mean Squares adaptive (LMS) algorithm, Recursive Least Squares (RLS) adaptive algorithm has better real time performance.