Title :
An STF-based chaos synchronization and its application to secure communication
Author_Institution :
Inf. Eng. Univ., Zhengzhou, China
fDate :
31 Aug.-4 Sept. 2004
Abstract :
The strong tracking filter (STF) is introduced as a new synchronization method for the chaotic communication systems with noise existing in both system and channel. STF improves the extended Kalman filter (EKF) which has been used widely in the chaotic communication. Compared with EKF-based method, the STF-based chaos synchronization technique is more robust to system model error and has smaller mean square error (MSE).
Keywords :
Kalman filters; chaotic communication; mean square error methods; noise; nonlinear filters; synchronisation; telecommunication channels; telecommunication security; STF-based chaos synchronization technique; chaos synchronization; chaotic communication system; extended Kalman filter; mean square error; secure communication; strong tracking filter; system model error; Additive noise; Additive white noise; Chaotic communication; Force feedback; Gaussian noise; Information filtering; Information filters; Noise measurement; State estimation; State feedback;
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
DOI :
10.1109/ICOSP.2004.1442259
