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MC-CDMA系统基于小波变换的多用户检测

Multiuser detection for MC-CDMA system based on wavelet transform
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摘要 本文首先将DS-CDMA系统的最小均方误差(MMSE)多用户检测器加以推广,用于MC-CDMA系统中。最小均方(LMS)算法是实现自适应MMSE多用户检测较好的算法,但收敛速度较慢,就此本文提出新的箕舌线变步长加速LMS算法并用到MC-CDMA自适应MMSE多用户检测中。为了使收敛速度更快,对接受的信号先进行小波变换,且可以通过小波域去噪,提高系统的误码率性能。最后用MATLAB仿真对理论分析作出有效验证。 This paper applies the MMSE multi-user detection in DS-CDMA system to MC-CDMA system at first. LMS is a good algorithm in the realization of MMSE multi-user detection, but convergence speed is slow, so a novel Tongue- Like Curve variable step size acceleration LMS algorithm is presented and is used for adaptive MMSE multi-user detection in MC-CDMA system. To fasten convergence speed, Wavelet transform is used for processing, the received signal at first and noise is wipe off under wavelet transform so that BER is improved. Finally the theoretical analyses is verified in the MATLAB simulation figures.
出处 《电子测量技术》 2008年第1期121-123,共3页 Electronic Measurement Technology
关键词 多载波码分多址 箕舌线 多用户检测 小波变换 MC-CDMA Tongue-Like Curve multiuser detection wavelet transform
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