摘要
许多时变步长（ＶＳＳ）自适应算法已经提出用来完善标准ＬＭＳ算法的性能，但实验表明这些算法容易受噪声干扰。本文介绍了一种新的变步长ＬＭＳ自适应算法，这种算法保证了较小的失调，同时使算法在自适应初始阶段有较快的收敛速度。该算法的优越性在于它不受已经存在的不相关噪声的干扰。本文对该算法的收敛性和稳定性进行了分析，并将该算法应用于自适应噪声对消的仿真实验中，给出了计算机的仿真结果。
A number of time_varing size_algorithm have been proposed to enhance the performance of the cohventional LMS algorithm.But experimentation,with those algorithms indicates that their pertormance is highly sensitive to the noise disturbance .This paper present a new variable step_size LMS_type algorithm providing fast convergence at early stages of adaptation,while ensuring.small final misadjustment. The performance of the algorithm is not,affected by existing uncorrected noise disturbances..An analysis of convergence and steady_state performance of the algorithm is provided,and apply the algorithm in the .simulation of adaptive noise cancellation.Finally illustheive comparer simulation is given.
出处
《信号处理》
CSCD
2001年第3期282-286,共5页
Journal of Signal Processing
