Name
Title | ||
|---|---|---|
Performance Analysis Of Stochastic Process Modulation System Based On Autoregressive Model Under Low Snr |
Abstract | ||
|---|---|---|
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. |
Year | Venue | Keywords |
|---|---|---|
2015 | PROCEEDINGS OF THE 2015 10TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND NETWORKING IN CHINA CHINACOM 2015 | autoregressive process shift keying, damped sinusoidal model, autocorrelation function |
Field | DocType | Citations |
Autoregressive model,Computer science,Keying,Communications system,Stochastic process,Algorithm,Real-time computing,Speech recognition,Gaussian noise,Sinusoidal model,Moving-average model,Autocorrelation | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huimin Zhu | 1 | 0 | 0.34 |
| Zhijiang Xu | 2 | 23 | 11.33 |
| Weidang Lu | 3 | 3 | 0.72 |
| Jingyu Hua | 4 | 101 | 33.21 |