A novel adaptive FIR filter algorithm

摘要

This paper proposes a novel Finite Impulse Response adaptive filter. The proposed algorithm is named Intelligent Bee Colony (IBC) algorithm. It takes some features from the Artificial Bee Colony algorithm and combines them with the elements from the classical gradient-based adaptive filter theory to produce an adaptive filter that is characterized by a very fast convergence rate. IBC algorithm is also a robust solution that performs the global minima search with high levels of accuracy. The performance of IBC algorithm is investigated in the context of adaptive channel equalization. A set of experiments are designed to compare its performance with the established adaptive filters, specifically Least Mean Square, Variable Step Size and Recursive Least Square filter. The results demonstrate the effectiveness of the proposed method.