An Improved Denoising Method in RDTS Based on Wavelet Transform Modulus Maxima

This paper proposed and demonstrated an improved wavelet transform modulus maxima (WTMM) denoising method to decrease the temperature error without decreasing spatial resolution in Raman distributed temperature sensors. In this scheme, the WTMM were obtained by combining those on the high and low decomposition scales, and the temperature signal was reconstructed using the WTMM. Experimental results show that the new proposed method has better denoising effect than the conventional one, allowing for the temperature error reduction of ~2 °C at 30 °C and 60 °C without decreasing spatial resolution comparing to original data.

[1]  R.S.H. Istepanian,et al.  Microarray image enhancement by denoising using stationary wavelet transform , 2003, IEEE Transactions on NanoBioscience.

[2]  B. Culshaw,et al.  Fiber-Optic Sensing: A Historical Perspective , 2008, Journal of Lightwave Technology.

[3]  Peter T. Gough,et al.  A fast spectral estimation algorithm based on the FFT , 1994, IEEE Trans. Signal Process..

[4]  Sa Sa Zhang,et al.  Spatial Resolution Improvement of Distributed Raman Temperature Measurement System , 2013, IEEE Sensors Journal.

[5]  Kwang Suh,et al.  Auto-correction method for differential attenuation in a fiber-optic distributed-temperature sensor. , 2008, Optics letters.

[6]  Xiaoyi Bao,et al.  Wavelet Denoising Method for Improving Detection Performance of Distributed Vibration Sensor , 2012, IEEE Photonics Technology Letters.

[7]  G. Bolognini,et al.  Raman-based distributed temperature sensor with simplex coding and link optimization , 2006, IEEE Photonics Technology Letters.

[8]  Z. L. Wang,et al.  Attenuation auto-correction method in Raman distributed temperature measurement system , 2013 .

[9]  Zhong Liu,et al.  Weak LFM Signal Dectection Based on Wavelet Transform Modulus Maxima Denoising and Other Techniques , 2010, Int. J. Wavelets Multiresolution Inf. Process..

[10]  Lei Zhang,et al.  Denoising by spatial correlation thresholding , 2003, IEEE Trans. Circuits Syst. Video Technol..

[11]  Michael Elad,et al.  Stable recovery of sparse overcomplete representations in the presence of noise , 2006, IEEE Transactions on Information Theory.

[12]  Jian Li,et al.  Efficient mixed-spectrum estimation with applications to target feature extraction , 1995, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.

[13]  Jun Chang,et al.  Accuracy improvement of Raman distributed temperature sensors based on eliminating Rayleigh noise impact , 2013 .

[14]  Hagit Messer,et al.  The use of the wavelet transform in the detection of an unknown transient signal , 1992, IEEE Trans. Inf. Theory.