BLIND SYMBOL RATE ESTIMATION OF SATELLITE COMMUNICATION SIGNAL BY HAAR WAVELET TRANSFORM  

作　　者：Wang Long Zhang Gengxin Bian Dongming Xie Zhidong Hu Jing 

机构地区：[1]Institute of Communication Engineering, PLA UST, Nanjing 210007, China

出　　处：《Journal of Electronics(China)》2011年第2期198-203,共6页电子科学学刊（英文版）

基　　金：Supported by the National Natural Science Foundation of China (No. 60972061,60972062,and 61032004);the National High Technology Research and Development Program of China ("863" Program) (No. 2008AA12A204);the Natural Science Foundation of Jiangsu Province(No. BK2009060)

摘　　要：As the raised cosine shaping filter is often employed in practical satellite communication system,the envelope fluctuation at the symbol transition point is decreased which leads to the failure of the common wavelet algorithm under low SNR.Accordingly,a method of blind symbol rate estimation using signal preprocessing and Haar wavelet is proposed in this paper.Firstly,the effect of filter shaping can be reduced by the signal preprocessing.Then,the optimal scale factor is searched and the signal is processed and analyzed by the Haar wavelet transform.Finally,the symbol rate line is extracted and a nonlinear filter method is inducted for improving the estimation performance.Theoretical analysis and computer simulation show the efficiency of the proposed algorithm under low SNR and small roll-off factor.As the raised cosine shaping filter is often employed in practical satellite communication system, the envelope fluctuation at the symbol transition point is decreased which leads to the failure of the common wavelet algorithm under low SNR. Accordingly, a method of blind symbol rate estimation using signal preprocessing and Haar wavelet is proposed in this paper. Firstly, the effect of filter shaping can be reduced by the signal preprocessing. Then, the optimal scale factor is searched and the signal is processed and analyzed by the Haar wavelet transform. Finally, the symbol rate line is extracted and a nonlinear filter method is inducted for improving the estimation performance. Theoretical analysis and computer simulation show the efficiency of the proposed algorithm under low SNR and small roll-off factor.

关 键 词：Haar wavelet Symbol rate PREPROCESSING Blind estimation 

分 类 号：TP927.2[自动化与计算机技术]