DocumentCode :
2612841
Title :
A noise reduction method for discrete chaotic signals and its application in communication
Author :
Wang, Shiyuan ; Long, Zhengji ; Wang, Jia ; Guo, Jing
Author_Institution :
Sch. of Electron. & Inf. Eng., Southwest Univ., Chongqing, China
Volume :
5
fYear :
2011
fDate :
15-17 Oct. 2011
Firstpage :
2303
Lastpage :
2307
Abstract :
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.
Keywords :
Kalman filters; chaotic communication; nonlinear systems; signal denoising; additive chaos masking; chaos based communication; communication application; cubature Kalman filter; discrete chaotic signal; noise reduction method; nonlinear discrete system; Chaotic communication; Covariance matrix; Kalman filters; Signal to noise ratio; Kalman filter; chaos; communication; cubature rule;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
Type :
conf
DOI :
10.1109/CISP.2011.6100717
Filename :
6100717
Link To Document :
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