Presentation 2007-06-29
Performance Evaluation of Interference Cancellation Technique based on Maximum Correlation Detection for Single User DS-CDMA Receiver in Rayleigh Fading Channels
Ranga HETTIARAGHCHI, Mitsuo YOKOYAMA, Hideyuki UEHARA, Takashi OHIRA,
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Abstract(in English) Authors have proposed so far a new single user interference cancellation method for direct-sequence code-division multiple-access (DS-CDMA). This system has an ability to overcome the near-far problem (NFP) without using any particular power control technique. In this method, it generates all replica patterns of the interference signals by discovering the unknown spreading sequences of all interference users and estimating their amplitudes. Then, it takes correlation between the received signal and each replica so as to find which combination replica takes the maximum value. The maximum correlation replica is considered as the true interference signal. Then, interference cancellation is done by subtracting all estimated interference signals from the received signal. It has confirmed that proposed method outperforms the conventional receiver under white Gaussian noise channels. In this paper, we examine the performance of the proposed receiver in Rayleigh fading channel with an assistance of the pilot symbols. The proposed method is applied to the slow fading environment such as mobile satellite and ad-hoc network.
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Keyword(in English) Direct-sequence code-division multiple-access / multiple access interference (MAI) / maximum correlation detection / single user detection
Paper # RCS2007-18
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Conference Information
Committee RCS
Conference Date 2007/6/21(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Performance Evaluation of Interference Cancellation Technique based on Maximum Correlation Detection for Single User DS-CDMA Receiver in Rayleigh Fading Channels
Sub Title (in English)
Keyword(1) Direct-sequence code-division multiple-access
Keyword(2) multiple access interference (MAI)
Keyword(3) maximum correlation detection
Keyword(4) single user detection
1st Author's Name Ranga HETTIARAGHCHI
1st Author's Affiliation Department of Information and Computer Sciences, Toyohashi University of Technology()
2nd Author's Name Mitsuo YOKOYAMA
2nd Author's Affiliation Department of Information and Computer Sciences, Toyohashi University of Technology
3rd Author's Name Hideyuki UEHARA
3rd Author's Affiliation Research Center for Future Vehicle, Toyohashi University of Technology
4th Author's Name Takashi OHIRA
4th Author's Affiliation Department of Information and Computer Sciences, Toyohashi University of Technology
Date 2007-06-29
Paper # RCS2007-18
Volume (vol) vol.107
Number (no) 113
Page pp.pp.-
#Pages 6
Date of Issue