Performance analysis of stochastic process modulation system based on autoregressive model under low SNR
Zhu Huimin, Zhijiang Xu, Lu Weidang, Hua Jingyu · 2015
A novel stochastic process shift keying (SPSK) to achieve a secure communication system in the presence of heavy noise is presented. The Gaussian noise sequence from the output of autoregressive (AR) filter carries the binary information. At the receiver, a damped sinusoidal model of autocorrelation function is employed to identify the two different AR filters from the noisy observations to estimate the transmitted binary message. Due to its excellent identification performance, the proposed communication system can be effective even under very low signal-to-noise ratio.