Performance of adaptive interference suppression filters used in PN spread-spectrum systems

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)