基于高阶统计处理技术的m-序列检测及识别
doi: 10.3724/SP.J.1146.2005.01671
The Detection and Recognition of m-Sequence Using Higher-Order Statistical Processing
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摘要: m-序列是扩频通信中使用最广泛的一种扩频码序列。该文对m-序列的三阶相关函数(TCF)，偏三阶相关函数及其峰值特性进行了研究，提出了基于偏TCF峰值特性的m-序列的检测方法和识别标准。仿真实验证明偏三阶相关函数具有与三阶相关函数所对应截取区域相同的峰值特性，根据这一特性可以对m-序列进行检测及识别，这也将为检测和识别直接序列扩频(DS-SS)信号提供理论依据。仿真实验还证明了该文提出的m-序列检测方法及识别标准的正确性。Abstract: m-sequence is one of the most widely used codes in spread spectrum communications. The triple correlation function(TCF) of m-sequence， the partial triple correlation function of m-sequence and its peak feature are studied and described in this paper. Then a detection method and a recognition standard of m-sequence are proposed based on the peak feature of the partial TCF. It is testified by simulation that the peak feature of the partial TCF is same as that of the TCF during the corresponding intercepted section. With the peak feature m-sequence can be detected and recognized and this is the basis for detecting and recognizing the direct sequence spread spectrum signals. The detection method and the recognition standard of m-sequence have been proved available by the simulation.
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