A variable tap-length Feedback Minimum Mean M-estimate adaptive Sub-band filtering algorithm for improved ANC

Active Noise Canceller has become very common in modern day to day electronic equipment. The adaptive filters installed inside this canceller play a crucial role in noise cancellation. The computational complexity as well as the structural complexity of the filter is an important factor to be considered for the overall performance. This depends on the structure of the filter. The structure depends on the number of taps. Generally filters used for Active Noise Cancellation have fixed tap length and are long which result is slow convergence and delay. Therefore it is necessary to have a trade-off between the length of the filter and its convergence. In this paper a Sub-band adaptive filtering technique is employed to reduce the length of the filter and a new Minimum Mean M-estimate algorithm having variable tap length is proposed. To be precise, the advantages of two concepts are combined in this paper so that the efficiency of the filter is maximum. They are the Sub-band adaptive filtering and the variable tap length. The simulation and results justify the proposal.