Switching extensible FIR filter bank for adaptive horizon size in FIR filtering

Horizon size is an important parameter that influences estimation performance of finite impulse response (FIR) filter. In this paper, we propose a novel method called switching extensible FIR filter bank (SEFFB) to adapt horizon size based on maximum likelihood strategy. We verify that the SEFFB achieves a significant performance improvement compared with an ordinary FIR filter which uses a fixed horizon size.