ADAPTIVE PARALLEL-CASCADE TRUNCATED VOLTERRA FILTERS

This paper studies adaptive truncated Volterra filters employing paral lel-cascade structures. Parallel-cascade realizations implement higher order Volterra systems as a parallel connection of multiplicative com binations of lower order truncated Volterra systems. A normalized LMS adaptive filter is developed, and its performance capabilities are eva luated using a series of simulation experiments. The experimental resu lts indicate that the normalized LMS adaptive parallel-cascade Volterr a filter has superior convergence properties over several competing st ructures. This paper also includes an experiment that demonstrates the capability of the parallel-cascade adaptive system to reduce its impl ementation complexity by using fewer than the maximum number of branch es required for the most general realization of the system.