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Modified PSO based Adaptive IIR Filter Design for System Identification on FPGA
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 22 - Number 5 |
| Year of Publication: 2011 |
| Authors: Lipika Gupta, Rajesh Mehra |
10.5120/2583-3569
|
Lipika Gupta, Rajesh Mehra . Modified PSO based Adaptive IIR Filter Design for System Identification on FPGA. International Journal of Computer Applications. 22, 5 ( May 2011), 1-7. DOI=10.5120/2583-3569
Abstract
Field programmable gate arrays (FPGAs) are becoming increasingly important implementation platforms for digital circuits. This paper focuses on the implementation of Adaptive Infinite Impulse response (IIR) filter on an FPGA using Modified Particle Swarm Optimization (PSO) Algorithm. The proposed Filter is capable of finding the global optimum solution for system identification problem in less number of iterations. The modified PSO algorithm has been developed and simulated using MATLAB. The result shows the enhanced speed of purposed design in terms of number of iterations it takes to identify the unknown system. The same algorithm has also been realized on various Xilinx FPGA devices and performances have also been analyzed. The area utilization by the proposed design on different FPGA devices has been compared. The results show that proposed filter is consuming very less area in terms of LUTs and Slices to provide enhanced area efficiency.
References
- Zhenbin Gao; Xiangye Zeng; Jingyi Wang; Jianfei Liu, “FPGA implementation of adaptive IIR filters with particle swarm optimization algorithm” ICCS-2008; 11th IEEE International Conference on Communications Systems held on 19 to 21 Nov 2008 in China; Page(s): 1364-1367, 2008.
- Yamille del Valle, Ganesh Kumar Venayagamoorthy, Salman Mohagheghi, Jean-Carlos Hernandez, and Ronald G. Harley, “Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems” IEEE Transactions on Evolutionary Computation, Vol. 12, No. 2, April 2008, Page(s): 171-195, 2008
- Sharbari Banerjee, Amitabha Sinha, “Performance Analysis of Different DSP Algorithms on Advanced Microcontroller and FPGA” ACTEA 2009; IEEE International conference held on July 15-17, 2009 Zouk Mosbeh, Lebanon; Page(s): 609-613, 2009
- Faten BEN ARFIA, Mohamed Ben Messaoud, Mohamed Abid “Nonlinear adaptive filters based on PSO” Leonardo Journal of Sciences, Issue 14, Jan-Jun 2009.
- D.J. Krusienski, W.K. Jenkins “PSO for Adaptive IIR Filter” IEEE Transactions on Signal processing 2004.
- Yunhong Gao, Yibo Li, Hong Qian, “The Design of IIR Digital Filter based on Chaos Particle Swarm Optimization Algorithm” Second International conference on Genetic and Evolutionary Computing Proceedings IEEE-2008; Page(s): 303-306, 2008
- R. Yousefi, A. Ahmadi, S. M. Fakhraie, “Design Flow for Hardware Implementation of Digital Filters”, 2008 Internatioal Symposium on Telecommunications, 2008 IEEE; Page(s)-586-591, 2008
- R. Mustafa, M. A. Mohd Ali, C. Umat, D.A. Al-Asady “Design and Implementation of Least Mean Square Adaptive Filter on Altera Cyclone II Field Programmable Gate Array for Active Noise Control” 2009 IEEE Symposium on Industrial Electronics and Applications (ISIEA 2009), October 4-6, 2009, Kuala Lumpur, Malaysia, Page(s): 479-484, 2009
- Sergio L. Netto, Paulo S.R. Diniz, Panajotis Agathoklis, “Adaptive IIR filtering Algorithms for System Identification: A General Framework” IEEE Transactions on Education, Vol. 38 No.1, Feb-1995; Page(s): 54-66
- Xiaochun Guan, Xiaojing Chen, Guichu Wu, “QX-LMS Adaptive FIR Filters For System Identification” IEEE-2009 International Conference Proceedings
- Sheng Chen, Bing L.Luk, “Digital IIR Filter design using Particle Swarm Optimization”, International Journal of Modeling, Identification and Control, Vol-9, No.4, 2010; Page(s): 327-335, 2010
- Xia Yu, Jianchang Liu, Hongru Li, “An Adaptive Inertia Weight Particle Swarm Optimization Algorithm for IIR Digital Filter” 2009 International Conference on Artificial Intelligence and Computational Intelligence proceedings IEEE-2009; Page(s): 114-118, 2009
- Bipul Luitel, Ganesh Kumar Venayagamoorthy, “Particle Swarm Optimization with Quantum Infusion for the Design of Digital Filters” 2008 IEEE Swarm Intelligence Symposium St. Louis MO USA, September 21-23, Page(s): 1031-1035, 2008
- Bipul Luitel; Ganesh K.Venayagamoorthy, “Differential Evolution Particle Swarm Optimization for Digital Filter Design”, 2008 IEEE Congress on Evolutionary Computation (CEC 2008), Page(s): 3954-396, 2008
- J. Kennedy, R.C. Eberhart “Particle Swarm Optimization”, Proceedings of the IEEE International Conference on Neural Networks, 1995, pp. 1942-1948.
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