Analysis and simulation of AR-SESS system performance

In this paper, we present a novel self-encoded spread spectrum (SESS) system which combines an autoregressive (AR) filter and generates spreading codes from the source stream. This method inherits the dynamic characteristic of spreading codes in the traditional SESS communication. And it improves the performance of conventional SESS system in low signal-to-noise (S/N) ratio situations. In this thesis, we present the theoretical analysis and simulation results of this system performance.