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数字滤波器的设计无论是传统的频率变换法,还是优化设计的方法,都需要了解和掌握一些基本的数字信号处理方面的专业知识.为了让数字滤波器的设计摆脱这些信号处理专业知识的限制,提出了一种数字滤波器参数的优化设计方法.该方法只需了解IIR数字滤波器的基本结构,明确传感器信号的频率范围,就可以用一种智能优化算法对滤波器参数进行优化.在Matlab环境下开发了粒子群优化算法的程序并进行了仿真试验,试验结果证明了该方法的有效性.
Digital Filter Design Whether it is a traditional frequency conversion method, or a method of optimizing the design, you need to understand and master some of the basic digital signal processing expertise.In order to make digital filter design out of these signal processing expertise limitations , A method of optimal design of digital filter parameters is proposed, which only needs to know the basic structure of IIR digital filter. By specifying the frequency range of the sensor signal, an intelligent optimization algorithm can be used to optimize the filter parameters. Matlab program developed a particle swarm optimization algorithm and conducted a simulation test, the experimental results show the effectiveness of the method.