A novel variable step-size feedback Filtered-X LMS algorithm for acoustic noise removal

摘要

The priority of current era in noise cancellation field aims at blocking the low frequency noise since most real life noises operate below 1 KHz. The noise which creates obstruction in everyday communication needs to be dealt in an effective way. Acoustic Noise Cancellation (ANC) is hence regarded as most sought after solution. ANC has created its own niche in this field where a wide range of industrial and commercial products rely unanimously for rescue. While the traditional solutions like enclosures, barriers, etc. had shortcomings like large, costly, and ineffective at low frequency, the modern approaches envisaged noise being readily cancelled by continuous adaptation of adaptive filter. This change in stance accredits its success to the advent of suitable adaptive algorithms in ANC which blocks selectively with potential benefits in size, weight, volume, and cost. In this paper we look forward to provide an improved approach for ANC. After an initial analysis of existing Filtered x algorithms the mathematics of new proposed algorithm has been provided. The proposed algorithm is then applied to noise cancellation along with the existing FxLMS, FB-FxLMS algorithms and results of each process were produced to make a suitable comparison between the existing and proposed one.