Non-Wiener behavior of the filtered LMS algorithm

This brief presents some analytical results for the non-Wiener solutions of the filtered least mean square algorithm. Secondary paths are modeled as linear time-invariant filters. Results are presented for the steady-state adaptive weight behavior and algorithm stability. Stability regions are implicitly determined as a function of the algorithm step size /spl mu/, the number of filter taps N, and the reference signal power.