Title :
The performance of adaptive interference suppression filters used in PN spread-spectrum systems
Author_Institution :
Telecommun. Lab., Oulu Univ., Finland
Abstract :
The performance of the optimal and adaptive interference suppression filters in pseudonoise spread spectrum systems has been determined by simulation. The performance index is the factor which represents the improvement in the signal-to-noise ratio due to the use of the interference suppression filter. The simulations include the linear M-step prediction and interpolation filters and some of the best-known iterative and time-recursive algorithms (least-mean square, Burg, and Kalman algorithms)
Keywords :
filtering and prediction theory; interference suppression; iterative methods; spread spectrum communication; Burg; Kalman; PN spread-spectrum systems; adaptive interference suppression filters; interpolation filters; iterative algorithms; least-mean square; linear M-step prediction; optimal interference suppression; performance index; pseudonoise; signal-to-noise ratio; time-recursive algorithms; Adaptive filters; Interference suppression; Interpolation; Iterative algorithms; Kalman filters; Nonlinear filters; Performance analysis; Predictive models; Signal to noise ratio; Spread spectrum communication;
Conference_Titel :
Electrotechnics, 1988. Conference Proceedings on Area Communication, EUROCON 88., 8th European Conference on
Conference_Location :
Stockholm
DOI :
10.1109/EURCON.1988.11121
