Modified Form of PSO and Its Variation in Channel Equalization
Sunita Panda1, Kamalanathan Chandran2, Anughna N3, Padma Charan Sahu4, Sekar Karthick5
1Sunita Panda, Assistant Professor,Elecrical Electronics and Communication Engineering, GITAM School of Technology, GITAM Deemed to be University, Bengaluru.
2Kamalanathan Chandran, Associate Professor, Elecrical Electronics and Communication Engineering, GITAM School of Technology,GITAM Deemed to be University, Bengaluru.
3Anughna N, Assistant Professor, Elecrical Electronics and Communication Engineering, GITAM School of Technology, GITAM Deemed to be University, Bengaluru
4Padma Charan Sahu, Assistant Professor, Electronics and Communication Engineering, GIET University, Gunupur
5Sekar Karthick, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andra Pradesh.  

Manuscript received on January 01, 2020. | Revised Manuscript received on January 20, 2020. | Manuscript published on January 30, 2020. | PP: 3534-3538 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6330018520/2020©BEIESP | DOI: 10.35940/ijrte.E6330.018520

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Abstract: Novelty of PSO is the techniques of parameter improvement. Using many “strategy principles” for the PSO is important for its convergence performance and the optimisation job. In the proposed work, we applied PSO and its advanced form trained with our proposed algorithm for channel equalization. Since particle swarm optimization is matured in the literature ,we apply PSO in its optimized structure trained with radial basis function Artificial Neural Network (ANN). Therefore, this work introduces most favourable design of RBFNN equalizers using OPSO. We treat equalization problem as a classification problem. We assessed a set of fitness functions of modified form of PSO and analysed with it to the presentation of existing PSO.
Keywords: ANN,OPSO, Channel Equalization.
Scope of the Article: Microwave Link Design.