LI Ning, CAO Zhen, DENG Zhongliang, “A Feedback Correction De-noising Algorithm Based on the Wavelet Coefficients,” Chinese Journal of Electronics, vol. 23, no. 3, pp. 516-520, 2014,
Citation: LI Ning, CAO Zhen, DENG Zhongliang, “A Feedback Correction De-noising Algorithm Based on the Wavelet Coefficients,” Chinese Journal of Electronics, vol. 23, no. 3, pp. 516-520, 2014,

A Feedback Correction De-noising Algorithm Based on the Wavelet Coefficients

Funds:  This work is supported by the National 863 Project of China (No.2012AA01A509) and Pre-Assembly Research Foundation (No.9140A24020813DZ08344).
  • Received Date: 2013-11-01
  • Rev Recd Date: 2014-01-01
  • Publish Date: 2014-07-05
  • The localization of satellite interference sources under the condition of low SNR has been a hot research topic at current, where the signal de-noising is important in the following positioning work. With the help of the wavelet analysis theory, this paper proposes a denoising algorithm based on the wavelet coefficients in low SNR. After correcting and reconstructing the signal by the correction coefficients, we could obtain the SNR and Root mean square error (RMSE), and then we could correct the signal for the second time. The simulation results show that this de-noising algorithm can effectively remove the noise of the signal in low SNR, which would have a good effect on the estimation of time delay parameter in the localization of satellite interference sources.
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  • S. G. Chang, Y. Bin, M. Vetterli, "Adaptive wavelet thresholding for image denoising and compression", IEEE Transactions on Image Processing, Vol.9, No.9, pp.1532-1546, 2000.
    Z. P. Zhang, G. Z. Liu, E. Q. Dong, "De-nosing via dyadic wavelet transform", Journal of Electronics and Information Technology, Vol.23, No.11, pp.1083-1090, 2001. (in Chinese)
    W. Q. Zhang, G. X. Song, "Signal de-noising in wavelet domain based on a new kind of thresholding function", Journal of Xidian University, Vol.31, No.2, pp.296-299,2004. (in Chinese)
    H. J. Dou, Q. Lei, J. Cheng, W.X. Li, "Research on TDOA parameters estimation for satellite interference localization", ICSP2012 Proceedings, pp.259-262, 2012.
    D. X. Zhang, J. S. Yuan, Z. Li, "Study on a signal envelopment analysis method based on threshold method of improved wavelet denoising", Electric Power Science and Engineering, Vol.26, No.6, pp.6-10, 2010.
    H. Q. Wang, C. Y. Shang, R. P. Gao, Z. N. Li, "An improvement of wavelet shrinkage denoising via wavelet coefficient transformation", Journal of Vibration and Shock, Vol.30, No.10, pp.165-168, 2011. (in Chinese)
    Y.Y Peng. "The application of wavelet analysis in onedimensional signal de-noising", Master Thesis, Beijing University of Posts and Telecommunications, China, 2011. (in Chinese)
    Y. Peng, M. Lei, J. Guo, X. Y. Peng, "Multiresolution Analysis and Forecasting of Mobile Communication Traffic", Chinese Journal of Electronics, Vol.22, No.2, pp.373-376, 2013.
    P. Ji, C. H. Zhang, J. H. Wang, "Wavelet shrinkage denoising using an exponential shrinkage function", Chinese Journal of Electronics, Vol.16, No.2, pp.285-288, 2007.
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