【摘要】 针对窄带主动噪声控制(NANC)系统的收敛问题,提出一种变遗忘因子变步长的滤波-X加权累加最小均方算法.本文在滤波-X加权累加最小均方算法基础上,利用互相关的误差信号构建变遗忘因子策略,并通过遗忘因子构造了变步长策略使系统获得更优的参数值,更好的平衡算法的收敛速度、跟踪能力及稳态误差之间的矛盾,同时增强了抗干扰能力,有效提升算法的整体性能.仿真实验表明本文算法在平稳和非平稳环境下具有更好的性能.更多还原

【Abstract】 In view of the convergence of narrowband active noise control(NANC) algorithm,a novel adaptive filtered-X weighted accumulated least-mean-square algorithm termed variable forgetting-factor and variable step-size(VFVS-FXWALMS) is proposed for NANC systems.On the basis of FXWALMS algorithm,a scheme using variable forgetting-factor and variable step-size is proposed to obtain better step-size and forgetting-factor values,which can not only better solve the contradiction among convergence,tracking capabilities and steady-state error of the algorithm,but also enhance the anti-interference capability of the system.Thus,the proposed algorithm improves considerably the overall performance of the system.Computer simulations are conducted to demonstrate the superior performance of the proposed algorithm in both stationary and non-stationary scenarios.更多还原