Simulation and Modeling of Fading Channel and Improvement of Channel estimation using Artificial Neural Network
Hemchand Vashist1, Arvind Pathak2, Amarjeet Kaur3, Sanjay Sharma4, Ashish Sharma5, Meenu Jangir6
1Er. Hemchand Vashist, Electronics and Communication Engineering Department, ACME, India.
2Arvind Pathak, Electronics and Communication Engineering Department, Lingaya’s University, India.
3Er. Amarjeet Kaur, Electronics and Communication Engineering Department, ACME, India.
4Sanjay Sharma, Electronics and Communication Engineering Department, ACME, India.
5Er. Ashish Sharma, Electronics and Communication Engineering Department, ACME, India.
6Er. Meenu Jangir, Electronics and Communication Engineering Department, ACME, India.
Manuscript received on 15 November 2012 | Revised Manuscript received on 25 November 2012 | Manuscript Published on 30 November 2012 | PP: 116-122 | Volume-1 Issue-6, November 2012 | Retrieval Number: E0346101612/2012©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: We present a simulation of Rayleigh fading channel. We used MATLAB for its implementation. Further this work explored possible use of Artificial Neural network for channel estimation. This is one of the first steps in improving performance in fading environment. We present a novel algorithm for channel estimation using ANN with the help of user’s usage history.
Keywords: AMATLAB
Scope of the Article: Artificial Neural Network