Soft Computing Techniques for Channel Equalization
Ami Kumar Parida1, Subodh Panda2, R. P. Singh3
1Ami Kumar Parida, Research scholar, Department of Electronics and Communication Engineering at SSSUTMS, Bhopal, India.
2Subodh Panda, Associate professor, Department of Electronics and Communication Engineering at Gandhi Institute of Engineering and Technology, India.
3R. P. Singh, Director and Prof., Department of Electronics and Communication at MANIT Bhopal, India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 1674-1677 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6535068819/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Communication of Information at present days needs higher data rate through the channels. The rate of information on these channels is finite in the main by inter symbol Interference (ISI). The basic techniques as Channel equalizers are generally adapted to minimize consequences of Inter-Symbol Interference. During this paper, a replacement equalizer based on soft computing is conferred. The outcome on the planned equalizer is deeply considered for every channel having its own bit-error rate with noisy data. The simulation result shows the better performance of equalized in terms of bit error rate as compared to earlier equalizer on least mean square or multilayer perception techniques.
Keyword: Bit Error Rate (BER), Channel equalizer, Hybrid learning algorithmic program, Inter symbol interference (ISI), Membership function and optimal Bayesian equalizer.
Scope of the Article: Soft Computing.