Title :
A Novel Demodulation Method for Chaotic Parameter Modulation
Author :
Xu, Maoge ; Song, Yaoliang ; Liu, Liwei
Author_Institution :
Dept. of Electron. Eng., Nanjing Univ. of Sci. & Technol.
Abstract :
This paper proposes a particle filter to demodulate the chaotic parameter modulation (CPM) signal CPM embeds the signal of transmission in the bifurcating parameter of a chaotic dynamical system, and uses the wide-band output of the chaotic system as the transmitted signal. As the bifurcating parameter of the chaotic dynamical system is unknown and the demodulation problem is just a system identification problem. Conventional methods like extended Kalman filter (EKF) and least mean square (LMS) have relatively poor performance. Incorporating Rao-Blackwellisaion (RB) and roughening noise method, particle filtering can be used to estimate the parameter sequentially. Simulation results confirm that the proposed particle filter has the improved performance compared to the EKF and LMS
Keywords :
Kalman filters; chaotic communication; demodulation; least mean squares methods; nonlinear filters; particle filtering (numerical methods); Rao-Blackwellisaion; chaotic dynamical system; chaotic parameter modulation; demodulation method; extended Kalman filter; least mean square; parameter bifurcation; parameter estimation; particle filter; roughening noise method; signal transmission; system identification problem; Bifurcation; Chaos; Chaotic communication; Demodulation; Filtering; Least squares approximation; Logistics; Parameter estimation; Particle filters; System identification;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2006. WiCOM 2006.International Conference on
Conference_Location :
Wuhan
Print_ISBN :
1-4244-0517-3
DOI :
10.1109/WiCOM.2006.156
