Power Control with Adaptive MMSE Interference Suppression
碩士 === 國立交通大學 === 電信工程系 === 91 === The direct-sequence code division multiple access (DS/CDMA) transmission technique has been widely investigated and used in practical wireless communication system. In this thesis, MMSE interference suppression combined with adaptive power control is inv...
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ndltd-TW-091NCTU04350562016-06-22T04:14:27Z http://ndltd.ncl.edu.tw/handle/91436470475820613049 Power Control with Adaptive MMSE Interference Suppression 適應性最小均方誤差干擾抑制之功率控制 Soul-Yu Chao 趙守毓 碩士 國立交通大學 電信工程系 91 The direct-sequence code division multiple access (DS/CDMA) transmission technique has been widely investigated and used in practical wireless communication system. In this thesis, MMSE interference suppression combined with adaptive power control is investigated. This method achieves the users’ target SIR with the minimum total transmitted power. Four adaptive MMSE interference suppression algorithms are discussed, so are their adaptive power control methods. In Rayleigh fading channel, conventional recursive least square (RLS) algorithm cannot converge easily under fast time variation. The differential least square (DLS) algorithm that adopts differential encoding and another error function can overcome the problem. The SIR of interference suppression filter output and channel parameter must be estimated in adaptive power control combined with DLS algorithm. We propose a channel estimation method based on DLS algorithm that doesn’t need extra computations and just takes time average over the interference suppression filter output. The SIR of filter output will be acquired through the method of channel estimation. We have used the computer to simulate adaptive power control combined with DLS interference suppression in flat Rayleigh fading channel. Wen-Thong Chang 張文鐘 2003 學位論文 ; thesis 136 zh-TW |
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碩士 === 國立交通大學 === 電信工程系 === 91 === The direct-sequence code division multiple access (DS/CDMA) transmission technique has been widely investigated and used in practical wireless communication system. In this thesis, MMSE interference suppression combined with adaptive power control is investigated. This method achieves the users’ target SIR with the minimum total transmitted power. Four adaptive MMSE interference suppression algorithms are discussed, so are their adaptive power control methods. In Rayleigh fading channel, conventional recursive least square (RLS) algorithm cannot converge easily under fast time variation. The differential least square (DLS) algorithm that adopts differential encoding and another error function can overcome the problem. The SIR of interference suppression filter output and channel parameter must be estimated in adaptive power control combined with DLS algorithm. We propose a channel estimation method based on DLS algorithm that doesn’t need extra computations and just takes time average over the interference suppression filter output. The SIR of filter output will be acquired through the method of channel estimation. We have used the computer to simulate adaptive power control combined with DLS interference suppression in flat Rayleigh fading channel.
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Wen-Thong Chang |
author_facet |
Wen-Thong Chang Soul-Yu Chao 趙守毓 |
author |
Soul-Yu Chao 趙守毓 |
spellingShingle |
Soul-Yu Chao 趙守毓 Power Control with Adaptive MMSE Interference Suppression |
author_sort |
Soul-Yu Chao |
title |
Power Control with Adaptive MMSE Interference Suppression |
title_short |
Power Control with Adaptive MMSE Interference Suppression |
title_full |
Power Control with Adaptive MMSE Interference Suppression |
title_fullStr |
Power Control with Adaptive MMSE Interference Suppression |
title_full_unstemmed |
Power Control with Adaptive MMSE Interference Suppression |
title_sort |
power control with adaptive mmse interference suppression |
publishDate |
2003 |
url |
http://ndltd.ncl.edu.tw/handle/91436470475820613049 |
work_keys_str_mv |
AT soulyuchao powercontrolwithadaptivemmseinterferencesuppression AT zhàoshǒuyù powercontrolwithadaptivemmseinterferencesuppression AT soulyuchao shìyīngxìngzuìxiǎojūnfāngwùchàgànrǎoyìzhìzhīgōnglǜkòngzhì AT zhàoshǒuyù shìyīngxìngzuìxiǎojūnfāngwùchàgànrǎoyìzhìzhīgōnglǜkòngzhì |
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