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Interference Cancellation Technique Based On Discovery Of Spreading Codes Of Interference Signals And Maximum Correlation Detection For Ds-cdma System

机译:Ds-cdma系统中基于干扰信号扩展码发现和最大相关检测的干扰消除技术

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This paper presents a novel interference cancellation (IC) scheme for both synchronous and asynchronous direct-sequence code-division multiple-access (DS-CDMA) wireless channels. In the DS-CDMA system, the multiple access interference (MAI) and the near-far problem (NFP) are the two factors which reduce the capacity of the system. In this paper, we propose a new algorithm that is able to detect all interference signals as an individual MAI signal by maximum correlation detection. It is based on the discovery of all the unknowing spreading codes of the interference signals. Then, all possible MAI patterns so called replicas are generated as a summation of interference signals. And the true MAI pattern is found by taking correlation between the received signal and the replicas. Moreover, the receiver executes MAI cancellation in a successive manner, removing all interference signals by single-stage. Numerical results will show that the proposed IC strategy, which alleviates the detrimental effect of the MAI and the near-far problem, can significantly improve the system performance. Especially, we can obtain almost the same receiving characteristics as in the absense of interference for asynchrnous system when received powers are equal. Also, the same performances can be seen under any received power state for synchronous system.
机译:本文为同步和异步直接序列码分多址(DS-CDMA)无线信道提供了一种新颖的干扰消除(IC)方案。在DS-CDMA系统中,多址干扰(MAI)和近距离问题(NFP)是降低系统容量的两个因素。在本文中,我们提出了一种新算法,该算法能够通过最大相关检测将所有干扰信号检测为单个MAI信号。它基于发现干扰信号的所有未知扩展码。然后,生成所有可能的MAI模式,即所谓的副本,作为干扰信号的总和。通过获取接收信号和副本之间的相关性,可以找到真正的MAI模式。此外,接收机以连续的方式执行MAI消除,通过单级去除所有干扰信号。数值结果表明,所提出的IC策略减轻了MAI的不利影响和远近问题,可以显着提高系统性能。特别是,当接收功率相等时,我们可以获得与异步系统几乎没有干扰的几乎相同的接收特性。同样,在同步系统的任何接收功率状态下都可以看到相同的性能。

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