Mitigating fading effects for mobile communications
This project is aimed at analyzing fading mitigation techniques in wireless communication system. Multipath fading is simulated and observed under different wireless fading channel environments. Performance comparison parameters like signal-to-noise ratio (SNR), bit error rate (BER) etc. are calcula...
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sg-ntu-dr.10356-759902023-07-04T15:55:47Z Mitigating fading effects for mobile communications Balaji, Srinivasan Li Kwok Hung School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering This project is aimed at analyzing fading mitigation techniques in wireless communication system. Multipath fading is simulated and observed under different wireless fading channel environments. Performance comparison parameters like signal-to-noise ratio (SNR), bit error rate (BER) etc. are calculated and analyzed. Mitigation using diversity combining techniques is then analyzed and implemented in these fading environments. Some of the diversity combining techniques used are selection combining, maximal ratio combining and equal gain combining. The improvements in performance parameters are then observed and plotted. The result is that maximal ratio combining has better performance than the other techniques. Furthermore, advanced mitigation techniques like the hybrid diversity technique is also studied. The performance parameters are explained theoretically for these advanced mitigation techniques and used for future analysis. Master of Science (Communications Engineering) 2018-09-12T00:52:32Z 2018-09-12T00:52:32Z 2018 Thesis http://hdl.handle.net/10356/75990 en 53 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Balaji, Srinivasan Mitigating fading effects for mobile communications |
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This project is aimed at analyzing fading mitigation techniques in wireless communication system. Multipath fading is simulated and observed under different wireless fading channel environments. Performance comparison parameters like signal-to-noise ratio (SNR), bit error rate (BER) etc. are calculated and analyzed. Mitigation using diversity combining techniques is then analyzed and implemented in these fading environments.
Some of the diversity combining techniques used are selection combining, maximal ratio combining and equal gain combining. The improvements in performance parameters are then observed and plotted. The result is that maximal ratio combining has better performance than the other techniques.
Furthermore, advanced mitigation techniques like the hybrid diversity technique is also studied. The performance parameters are explained theoretically for these advanced mitigation techniques and used for future analysis. |
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Li Kwok Hung |
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Li Kwok Hung Balaji, Srinivasan |
format |
Theses and Dissertations |
author |
Balaji, Srinivasan |
author_sort |
Balaji, Srinivasan |
title |
Mitigating fading effects for mobile communications |
title_short |
Mitigating fading effects for mobile communications |
title_full |
Mitigating fading effects for mobile communications |
title_fullStr |
Mitigating fading effects for mobile communications |
title_full_unstemmed |
Mitigating fading effects for mobile communications |
title_sort |
mitigating fading effects for mobile communications |
publishDate |
2018 |
url |
http://hdl.handle.net/10356/75990 |
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1772828660207714304 |