The Detection and Recognition of DS-SS Signals Using Higher-Order Statistical Processing

Abstract

In this paper the triple correlation function (TCF) of m-sequence, the partial triple correlation function of m-sequence and its peak feature are studied and described firstly. Then a detection method and a recognition standard of m-sequence are proposed based on the peak feature of the partial TCF using higher-order statistical processing and detection theory. It is testified by simulation that the peak feature of the partial TCF is the same as that of the TCF during the corresponding intercepted section. With the peak feature m-sequence can be distinguished from 0-1 binary sequence and random noise sequence. So this is can be used to detect and recognize the direct sequence spread spectrum signals. The detection method and the recognition standard of m-sequence have been proved available by the simulation