Title :
Interference rejection in direct-sequence spread spectrum communication systems based on higher-order statistics and genetic algorithm
Author :
Taijie, Li ; Guangrui, Hu ; Qing, Gu
Author_Institution :
Dept. of Electr. Eng., Shanghai Univ., China
Abstract :
A new higher order statistics (HOS) and genetic algorithm (GA)-based interference rejection filter is introduced. When a reference signal, which is highly correlated with the interference, is available, the new method uses GA to update the adaptive filter coefficients after the HOS of the primary and reference signal are computed. Compared with the adaptive filters based on second-order statistics, the HOS and GA-based filter can reject the interference more efficiently and is independent of uncorrelated Gaussian noise. The HOS and GA-based adaptive filter tends to converge to the optimum and is much less sensitive to the choice of the step size parameter than the adaptive filters based on the gradient algorithm. Computer simulations show that the method can reject narrowband interference efficiently
Keywords :
adaptive filters; convergence of numerical methods; genetic algorithms; higher order statistics; interference suppression; spread spectrum communication; DS-SS communication systems; GA-based filter; HOS-based filter; adaptive filter coefficients; convergence; direct-sequence spread spectrum communication; genetic algorithm; higher-order statistics; interference rejection filter; narrowband interference; primary signal; reference signal; uncorrelated Gaussian noise; Adaptive filters; Convergence; Gaussian noise; Genetic algorithms; Higher order statistics; Information filtering; Interference; Narrowband; Spread spectrum communication; Transversal filters;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.893446