A new IIR type adaptive algorithm of parallel type structure

IIR type adaptive algorithms are classified into two categories according to their structures: series-parallel type and parallel type. Though parallel type algorithms show better convergence performance than series-parallel type, they present strong tendency to oscillate. Therefore, only Landau´s method which is based on hyper-stability theory has been known as the parallel type. However, this method requires a lot of computation because it involves matrix operations. This paper proposes a new parallel type algorithm which utilizes the fast least squares method. Its computational complexity is much less than that of Landau´s method. We also present by both analysis and computer simulation that the convergence performance of our method is better than that of the series-parallel type fast least squares method.