摘要
本文针对有限脉冲响应(FIR)数字滤波器的设计实质上是一个多参数优化问题,提出了一种用粒子群优化算法(PSO)设计FIR数字滤波器的方法.首先将滤波器的设计问题转化为滤波器参数的优化问题,然后利用粒子群优化算法对整个参数空间进行高效并行搜索以获得参数的最优化.FIR数字低通、带通滤波器设计实例证明了该方法的有效性和优越性.
The particle swarm is an algorithm for finding optimal region of complex search spaces through the interaction of individuals in a population of particles. A new method based on particle swarm optimization（PSO） is proposed to design FIR digital filters. The design of FIR digital filters is converted into the optimization of the parameters of FIR digital filters. PSO is used to search the whole parameters space effectively and globally in order to optimize parameters. The effectiveness and superiority of the introduced method are demonstrated by experimental results on the low pass and band pass FIR digital filters. And compared with other optimization algorithms PSO has advances in computational power.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2005年第7期1338-1341,共4页
Acta Electronica Sinica
