Adaptive filtering based on least mean square algorithm

In this paper, an adaptive filter based on Least Mean Square (LMS) algorithm is implemented. The paper discusses the system configuration, filter structure and the implementation of the Adaptive LMS algorithm. The convergence and stability of the filter which ensures stable adaptation behavior is also discussed. The performance of the designed adaptive filter is comparable to the in-built Matlab LMS filter. The performance of the designed filter is evaluated based on the bit error rates by varying the additive white gaussian noise levels in the system. The performance of the designed adaptive filter is found to be satisfactory and is viable to be applied in underwater acoustic communication.