Blind spreading sequence discovery for DS-CDMA signal interception

A. Haghighat, M. Soleymani
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引用次数: 1

Abstract

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.
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DS-CDMA信号拦截中的盲扩展序列发现
提出了一种基于多信号分类(MUSIC)算法的盲发现同步多用户码分多址(CDMA)中活跃用户传播序列的方案。该方案是盲的,因为它不需要事先知道传播码。该方案获得了扩频码和用户功率。对接收到的信号进行特征值分解(EVD),然后将所有有效的可能的特征序列投影到子空间上。然而,这个过程的结果是,也产生了一些错误的答案,歧义似乎无法解决。我们的方法是将子空间分解的结果应用于接收信号的变换,然后检查它们的统计量。结果表明,变换后信号的二阶统计量为消除错误答案提供了可靠的手段。
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