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

LI Ning; CAO Zhen; DENG Zhongliang

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Article Navigation > Chinese Journal of Electronics > 2014 > 23(3): 516-520

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,

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,

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

School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

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

Abstract

Abstract

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.
- Signal processing,
- Feedback correction algorithm,
- Wavelet coefficients decomposition,
- De-noising,
- Interference sources localization

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References(9)

References

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