FPGA implementation of adaptive IIR filters with particle swarm optimization algorithm

摘要：

In this paper, we present implementation of an infinite impulse response (IIR) adaptive filter with particle swarm optimization (PSO) on eld programmable gate array (FPGA). Particle swarm optimization performs a structured randomized search of an unknown parameter space by manipulating a population of parameter estimates to converge on a suitable solution. And this technique is independent of the adaptive filter structure and is capable of converging on the global solution for multimodal optimization problems, which makes it especially useful for optimizing IIR and nonlinear adaptive filters. This paper describes the PSO algorithm and presents a circuit architecture that facilitates efficient FPGA implementations. The results of the synthesis and the function simulation in the Active HDL platform demonstrate the successful hardware implementation of the IIR filter with the PSO algorithm using FPGA.

关键词： IIR Filter Field programmable gate array (FPGA) Particle swarm optimization (PSO)

作者: Zhenbin Gao Xiangye Zeng Jingyi Wang Jianfei Liu

作者单位: School of Information Engineering,Hebei University of Technology Tianjin 300401,P.R.China

会议类型: 国际会议

会议名称: The 11th IEEE International Conference on Communications Systems(第11届电子和电气工程师协会国际通信系统会议)(IEEE ICCS 2008)

会议地点: 广州

会议语种:英文

在线出版日期: 2008-11-19（万方平台首次上网日期，不代表论文的发表时间）