Modified Model and Algorithm of LMS Adaptive Filter for Noise Cancellation

摘要

The present research investigates the innovative concept of LMS adaptive noise cancellation by means of a modified algorithm using an LMS adaptive filter along with their detailed analysis. Three types of equations viz. output, error, and weight update are used in the LMS algorithm. The error equation of traditional LMS algorithm is modified which gives better results as compared to traditional LMS algorithm and their types. The comparison parameters used in the present analysis are signal-to-noise ratio, mean square error, maximum absolute error, and energy ratio between signals of error and output signals. The proposed modified model was found to have a higher signal-to-noise ratio with respect to the traditional model of LMS adaptive noise cancellation. The signal-to-noise ratio of the proposed model has also been compared with some other types of LMS algorithms and was found better in most of the cases.