An Improved Particle Swarm Optimization Algorithm for FIR Filter Design

被引：0
|
作者：
Xia Yuanhai [1 ]
机构：
[1] King Fahd Univ Petr & Minerals, Dept Elect Engn, Dhahran 31261, Ksa, Saudi Arabia
来源：
2013 IEEE 20TH INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS, AND SYSTEMS (ICECS) | 2013年
关键词：
DIGITAL-FILTERS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, an Improved Particle Swarm Optimization algorithm is introduced. Compared with conventional PSO, a new inertia weight mechanism is used to ensure the coverage and convergence at a better extent, considering the suboptimal solutions generated by conventional PSO when dealing with complex problems with lots of local minimas. The new mechanism divide the particles into two parts to enlarge coverage of search space and apply new decreasing algorithm to guarantee convergence. FIR filter design, whose results are very sensitive to parameters, is used to illustrate the effective impact of the new inertia weight mechanism.
引用
收藏
页码：261 / 264
页数：4
相关论文
共 50 条
  • [1] Sparse FIR Filter Design Using Binary Particle Swarm Optimization
    Wu, Chen
    Zhang, Yifeng
    Shi, Yuhui
    Zhao, Li
    Xin, Minghai
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2014, E97A (12): : 2653 - 2657
  • [2] Cat Swarm Optimization algorithm for optimal linear phase FIR filter design
    Saha, Suman Kumar
    Ghoshal, Sakti Prasad
    Kar, Rajib
    Mandal, Durbadal
    ISA TRANSACTIONS, 2013, 52 (06) : 781 - 794
  • [3] Efficient Filter Generation Based on Particle Swarm Optimization Algorithm
    Zeng, Liang
    Li, Jintai
    Liu, Jianxin
    Guo, Rongwen
    Chen, Hang
    Liu, Rong
    IEEE ACCESS, 2021, 9 : 22816 - 22823
  • [4] Linear Phase Low Pass FIR Filter Design using Genetic Particle Swarm Optimization with dynamically varying neighborhood Technique
    Ghosh, Avishek
    Ghosh, Arnab
    Chowdhury, Arkabandhu
    Konar, Amit
    Kim, Eunjin
    Nagar, Atulya K.
    2012 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2012,
  • [5] FIR Filter Design by Convex Optimization Using Directed Iterative Rank Refinement Algorithm
    Dedeoglu, Mehmet
    Alp, Yasar Kemal
    Arikan, Orhan
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2016, 64 (09) : 2209 - 2219
  • [6] A Novel Discrete Particle Swarm Optimization for FRM FIR Digital Filters
    Hashemi, Seyyed Ali
    Nowrouzian, Behrouz
    JOURNAL OF COMPUTERS, 2012, 7 (06) : 1289 - 1296
  • [7] Asymmetric FIR Filter Design Using Evolutionary Optimization
    Kwan, Hon Keung
    2017 IEEE 30TH CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE), 2017,
  • [8] Fast algorithm for constrained least squares FIR filter design
    Dávila, J
    Griswold, NC
    2000 5TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS I-III, 2000, : 165 - 168
  • [9] Fast algorithm for constrained least squares FIR filter design
    Dávila, J
    Griswold, NC
    2000 5TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS I-III, 2000, : 118 - 121
  • [10] Sparse FIR Filter Design Based on Simulated Annealing Algorithm
    Wu, Chen
    Xu, Xinzhou
    Zhang, Xinran
    Zhao, Li
    ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING, 2015, 15 (01) : 17 - 22
12345