基于LMS算法的自适应滤波器仿真实现

Implementation of Adaptive Filter Simulation Based on LMS Algorithm

为了达到最佳的滤波效果,使自适应滤波器在工作环境变化时自动调节其单位脉冲响应特性,提出了一种自适应算法:最小均方算法(LMS算法)。这种算法实现简单且对信号统计特性变化具有稳健性,所以获得了极为广泛的应用。针对用硬件实现LMS算法的自适应滤波器存在的诸多缺点,采用Matlab工具对基于LMS算法的自适应滤波器进行了仿真试验。仿真结果表明,应用LMS算法的自适应滤波器不仅可以实现对信号噪声的自适应滤除,还能用于系统识别。

In order to achieve the optimum filtering effect, it makes the adaptive filter adjust its units impulse response characteristics automatically on the working environment changed. This paper presents a kind of adaptive algorithm： Least Mean Square （LMS algorithm）. As the algorithm is realized simply and has stability with respect to the change of signal statistical characteristics,LMS algorithm is used widely. According to disadvantages of adaptive filter to realize LMS using hardware adaptive filter is simulated which is based on LMS algorithm with Matlab. Results of simulation show that this kind of adaptive filter not only can filter the signal noise,but also recognize the system.