A Noise Reduction Method for Discrete Chaotic Signals and Its Application in Communication

摘要：

This paper addresses the issue for filtering noisy contaminated discrete chaotic signals. A modified cubature Kalman filter combined with QR decomposition is proposed for estimating a nonlinear discrete system. Simulation results show the proposed method can effectively reduce noise on discrete chaotic signals. In comparison with other Kalman filters, the proposed method has a better filtering performance in the case of low signal to noise ratios (SNR), and has the similar performance in the case of high SNR. In addition, it is indicated by simulations that the proposed filtering method can also effectively implement chaos-based communication when message signals are modulated by additive chaos masking.

关键词： cubature rule Kalman filter chaos communication

作者: Shiyuan Wang Zheng i Long Jia Wang Jing Guo

作者单位: School of Electronic and Information Engineering Southwest University Chongqing, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 2331-2335

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）