Blind Symbol Rate Estimation by Exploiting Cyclostationary Features in Wavelet Domain

被引：0
|
作者：
Kumar, Sushant [1 ]
Bohara, Vivek Ashok [1 ]
Darak, Sumit J.
机构：
[1] Indraprastha Inst Informat Technol Delhi, Dept Elect & Commun, Wirocomm Res Grp, New Delhi, India
来源：
2016 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI) | 2016年
关键词：
Continuous wavelet transform; cyclostationary feature detection; denoising; blind wireless receiver; symbol rate estimation;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In multi-standard wireless communication receivers, an estimation of the symbol rate is critical to blindly demodulate received signal. Symbol rate estimation at high signal-to-noise (SNR) ratio has been studied extensively in the literature and many computationally efficient methods have been proposed. However, symbol rate estimation at low SNR environment is still a challenging task. In this paper, a new method for accurately estimating the symbol rate of any received signal has been proposed. To the best of our knowledge, proposed method is the first which exploits cyclostationary features of received signal in wavelet domain. Simulation results validate the superiority of the proposed method over others especially at low SNR values. At the end, detailed complexity analysis based on total number of gate counts is presented.
引用
收藏
页码：1757 / 1763
页数：7
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