A robust fuzzy step size LMS algorithm for DS-UWB systems

This paper discusses a direct-sequence ultra-wideband (DS-UWB) system that uses the least-mean-square (LMS) adaptive filter for interference cancellation. Compared to the conventional LMS algorithm, the fuzzy step size LMS algorithm which we propose can perform rapid convergence with a low steady-state fluctuation error. The sequential partial update scheme is used in the proposed fuzzy step size LMS algorithm to reduce the system complexity without trading off the bit-error-rate (BER). Simulations are conducted to evaluate the convergence and tracking behavior of the proposed LMS algorithm.