Echo Canceller Integrating Diverse Adaptive Filtering Algorithms

It is a significant problem how we select step-size of adaptive filtering algorithm so as to solve effectively the conflict between convergence speed and steady misalignment in echo cancellation. This paper presents a novel echo cancellation scheme which integrates a diverse set of adaptive filtering methods and different choices of step-size, such that their advantages can be integrated and the improved performance can be achieved. In the proposed scheme, the performance of different methods are analyzed, thus being able to keep selecting the best methods for output. An empiri-cal study on the integration of four methods, namely, LMS, NLMS, PNLMS and IPNLMS, indicates that the proposed scheme is effective in terms of both convergence speed and good steadiness.