Author(s): Mao Xin, Lu Jing, Zou Haishan
Pages: 41-45
Year: 2014 Issue:  1
Journal: Journal of Nanjing University(Natural Sciences)
Keyword:  active noise control; frequency domain adaptive algorithm; steady state solution;
Abstract: Frequency-domain adaptive algorithm has the benefits of fast convergence speed and low computational burden, which makes it a good choice in the implementation of active noise control systems.However the commonly used bin-normalized frequency domain algorithm suffers from deterioration of least mean error in non-causal conditions.Active noise control system has its inherent electric delay,in the application of active noise control in a short duct,non-causal conditions often occur.It is a meaningful work to research or improve the performance of frequency domain adaptive algorithms in non-causal conditions.This paper analyzes the steady state solution of bin-normalized frequency domain algorithm in non-causal conditions.It is proved that the steady state solution of the bin-normalized frequency domain algorithm is related with the flatness of reference signal power spectrum.A new frequency domain filter coefficients updating method is also proposed in this paper,and theoretically the new algorithm can converge to the optimal solution in non-causal conditions.The performance of the bin-normalized frequency domain algorithm is illustrated by simulations.Furthermore,the performances of related algorithms are also compared in a real time active noise control DSP system.Simulations and experiments verify the theoretical analysis.