WCSE 2016
ISBN: 978-981-11-0008-6 DOI: 10.18178/wcse.2016.06.013

Analysis on Wavelet Threshold Extracting Weak Signal in Deep Space Communication

Bo Zeng, Dezhi Li, Qing Guo,Zhenyong Wang

Abstract— The extremely long distance of deep space communication brings about the tough challenge that the received signal is weak. In order to overcome the problem of low signal to noise ratio (SNR) at the lowest price, we extract weak signal by means of wavelet thresholding method, in which the weak signal energy can be gathered in a few of sparse wavelet transform coefficients, and the energy of noise will spread to all the coefficients, which means that the output carrier-to-noise-ratio (CNR) can be effectively improved by wavelet thresholding. Additionally, the influence of the wavelet decomposition level on the output CNR and the correlation coefficient of the real signal and estimated signal is extensively discussed by computer simulations. Based on the discussions, we give the suggestions on practical applications of wavelet thresholding method.

Index Terms— performance, wavelet threshold, extracting weak signal, deep space communication.

Bo Zeng, Dezhi Li, Qing Guo,Zhenyong Wang
Communication Research Center, Harbin Institute of Technology, CHINA

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Cite: Bo Zeng, Dezhi Li, Qing Guo,Zhenyong Wang, "Analysis on Wavelet Threshold Extracting Weak Signal in Deep Space Communication," Proceedings of 2016 6th International Workshop on Computer Science and Engineering, pp. 65-70, Tokyo, 17-19 June, 2016.