Performance analysis of an iterative group-wise parallel interference cancellation for multiuser detection of coherent W-CDMA system

J. Koo
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引用次数: 4

Abstract

We present performance analysis of an iterative group-wise parallel interference cancellation (IGPIC) algorithm for coherent detection of an asynchronous wideband DS-CDMA system in a single cell over multipath Rayleigh fading channels. The proposed IGPIC algorithm can improve the existing serial interference cancellation (SIC) algorithm that significantly degrades the detection performance for stronger users compared to weaker users. It also improves the group-wise serial interference cancellation (GSIC) algorithm that suffers from severe degradation of detection performance as the number of users in a group increases. In the proposed algorithm, users in a system am divided into several groups and interfering signals are subtracted out from the received signal as many times as the number of users in a group, iteratively. The iterative group-wise interference cancellation (IGIC) algorithm is also classified into the iterative group-wise serial interference cancellation (IGSIC) and the IGPIC algorithm. The results show that the performance of the IGPIC algorithm is superior to that of the IGSIC algorithm by 4 dB, right before the final cancellation in a group for 10 users at BER=1.0/spl times/10/sup -2/.
相干W-CDMA系统多用户检测的迭代群并行干扰消除性能分析
针对多径瑞利衰落信道中单小区异步宽带DS-CDMA系统的相干检测,提出了一种迭代群并行干扰消除(IGPIC)算法的性能分析。现有的串行干扰抵消(SIC)算法对较强用户的检测性能比较弱用户明显下降。它还改进了分组串行干扰消除(GSIC)算法,该算法会随着组中用户数量的增加而严重降低检测性能。在该算法中,将系统中的用户分成若干组,并迭代地从接收信号中减去与组中用户数量相同次数的干扰信号。迭代群明智干扰消除算法又分为迭代群明智串行干扰消除算法和IGPIC算法。结果表明,在BER=1.0/spl times/10/sup -2/时,IGPIC算法在10个用户组最终取消前的性能优于IGSIC算法4 dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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