A robust self-adaptive algorithm for multiple access interference suppression

We propose a robust self-adaptive interference suppression algorithm for a DS/CDMA communication systems. The algorithm adjusts the filter coefficients by minimizing a non-MSE cost function while satisfying a set of constraints. The algorithm is self-adaptive in a sense that it does not utilize a training data for the initial adaptation. Projections based on constraint sets are used as remedial measures to avoid misconvergence. Performance sensitivity of the reference-free constrained adaptive algorithm is studied. The proposed algorithm is shown to significantly improve the steady state performance compared to the existing adaptive algorithm by computer simulations