Multi-user Identity Algorithm Based On Cyclic-correlation In The Direct Spread Spectrum System

Due to the- outstanding technical characters, Direct Spread Spectrum System (DSSS) has been widely applied in military communication, commercial communication, remote sensing and measuring, but as a self-jammerring system DSSS is interfered not only by channel noise but also multi-access interferences, which notability affect the quality and quantity of communication. Presently, multi-user identity algorithms of DSSS are generally based on common correlation identity technology whose performance of anti Gauss white noise in transmission channel and anti multi-user jammerring is bad. Thus, it is essential to design an algorithm which is effective in anti Gauss white noise in transmission channel and anti multi-user jammerring.This thesis analyses present correlation identity algorithms in' DSSS, and brings out a novel DSSS multi-user identity model which substitutes m_W sequence with m sequence to enhance the ability of anti multi-user jammerring and substitutes cyclic-correlation algorithm with normal-correlation algorithm to enhance the ability of anti channel noise. With software simulation, feasibility and superiority of the novel model are analyzed and demonstrated.