Abstract
This paper presents a method to detect weak harmonic signal embedded in chaotic noise. Using different correlation characteristic of harmonic and chaotic signal ,we can transform the sample signal to a new data sequence which has new harmonic . The new harmonic frequency is m times of the original harmonic and beyond the center bandwidth of noise. Then use wavelet packet decomposition to analysis the energy distribution of harmonic and chaotic signals and extract the component which the harmonic energy concentrated on, In the end, a multiple signal classification (MUSIC) algorithm is employed to estimate harmonic frequencies . The method suit for the complex background noise (strong chaotic noise and gaussian noise).
Publisher
Trans Tech Publications, Ltd.
Reference8 articles.
1. H. Leung , X .P. Huang , Parameter estimation in chaotic noise, IEEE Trans . Sig . Proc , 44 (1996) , p.2456.
2. Haykin S and Li X B. Detection of signals in chaos. Proceedings of IEEE , vol 83(1995)p.94.
3. Manjunath G., Sivaji Ganesh S., Anand G.V., Denoising signals corrputed by chaotic noise, Communications in Nonlinear Science and Numerical Simulation, vol. 15(12)(2010), pp.3988-3997.
4. D.S. Broomhead, J.P. Huke and A.S. Potts , Cancelling deterministic noise by constructing nonlinear inverses to linear filters , Physical D, vol 89 (1996), p.439.
5. Tim Sauer, A noise reduction method for signals from nonlinear systems , Physical D, vol 58(1992), p.193.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献