A Novel Demodulation Method for Chaotic Parameter Modulation

摘要：

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.

关键词： CPM parameter estimation particle filtering roughening noise RB

作者: Maoge Xu Yaoliang Song Liwei Liu

作者单位: Department of Electronic Engineering,Nanjing University of Science & Technology,Nanjing 210094 School of Science,Nanjing University of Science & Technology,Nanjing 210094

会议类型: 国际会议

会议名称: 第二届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 武汉

会议语种:英文

在线出版日期: 2006-09-01（万方平台首次上网日期，不代表论文的发表时间）