Active Noise Control for Three-Dimensional Sound Field Using Fast Converging Algorithms

Abstract

Active control in three-dimensional sound field against incoming noise from external noise source is considered. Convergence characteristics are investigated with not only conventionally wide-used Filtered-x LMS algorithm, but also fast transversal filter (FTF) algorithm and frequency domain adaptive (FDA) algorithm. The advantages and disadvantages of each algorithm is examined through simulations and experiments using 1/5 scale model of a general room. Control results are studied also with both fixed noise source and moving noise source, and the difference in the control performance of each algorithm is compared and considered. As a result of simulations and experiments, both FTF and FDA show better control performance than LMS algorithm against the fixed noise source. Also while noise source is moving, FTF shows better results than LMS does.