Title :
An unscented-transform-based filtering algorithm for noisy contaminated chaotic signals
Author :
Feng, Jiuchao ; Xie, Shengli
Author_Institution :
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou
Abstract :
Combining the modelling technique for signal with the unscented transform (UT), a new filtering algorithm is realized. It indicates by computer simulation that this new algorithm can effectively reduce noise on chaotic signal no matter how parameter of chaos generator varies with time. In comparison with the EKF algorithm, this algorithm has a better filtering performance in the case of low signal to noise (SNR), and has the similar performance in the case of high SNR. In addition, an application in blind channel equalization is also found
Keywords :
chaos; digital simulation; signal denoising; EKF algorithm; blind channel equalization; chaotic signal; filtering algorithm; noise reduction; unscented transform; Chaos; Chaotic communication; Filtering algorithms; Frequency; Noise generators; Noise reduction; Pollution measurement; Random variables; Recursive estimation; Signal processing algorithms;
Conference_Titel :
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location :
Island of Kos
Print_ISBN :
0-7803-9389-9
DOI :
10.1109/ISCAS.2006.1693067
