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Blind Spreading Sequence Discovery for DS-CDMA Signal Interception

机译:DS-CDMA信号拦截的盲传播序列发现

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A scheme based on Multiple Signal Classification (MUSIC) algorithm for blind discovery of spreading sequences of active users in a synchronous multiuser Code Division Multiplex Access (CDMA) is suggested. The scheme is blind in the sense that does not require prior knowledge of the spreading codes. Spreading codes and users power are acquired by the scheme. Eigenvalue Decomposition (EVD) is performed on the received signal, and then all the valid possible signature sequences are projected onto the subspaces. However as a result of this process, some false answers are also produced and the ambiguity seems un-resolvable. Our approach is to apply a transformation derived from the results of the subspace decomposition on the received signal and then to inspect their statistics. It is shown the second order statistics of the transformed signal provides a reliable means for removing the false answers.
机译:提出了一种基于多信号分类(音乐)盲人在同步多用户码分换多路复用访问(CDMA)中扩展活动用户扩展序列的盲声序列的多信号分类(音乐)算法的方案。该方案在不需要先前了解扩频代码的意义上是盲目的。传播代码和用户电源由该方案获取。在接收信号上执行特征值分解(EVD),然后将所有有效的签名序列投影到子空间上。然而,由于这个过程,也产生了一些错误的答案,并且歧义似乎是不可判断的。我们的方法是应用从收到的信号上的子空间分解结果的转换,然后检查其统计数据。示出了转换信号的二阶统计数据提供了用于去除错误答案的可靠手段。

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