Nonlinear Active Noise Control system using Nature-Inspired Algorithm for Coefficients updates of Adaptive Volterra filter

In this paper, natured inspired firework algorithm is used to update the coefficients of adaptive Volterra filter based ANC systems without identification of secondary path modeling. The concept of mean squared error sense is used to develop the cost function. Firework algorithm based ANC systems having sinusoidal noise signal, random noise signal and complex random noise signal while taking primary and secondary paths as linear/nonlinear. Observations based on Statistics validated the worth of stochastic solvers FWA by means of accuracy, complexity analysis and convergence. The results of the proposed algorithm is compared with the backtracking search algorithm (BSA) and particle swarm optimization (PSO).