An Efficient Recognition Algorithm Between Analog and Digital Signals at Low SNR

摘要：

Signal recognition plays more and more important roles in future communication. In this paper, we proposed a novel recognition algorithm between analog signals and digital signals at low SNR, combining non-linear transform and wavelet transform. The algorithm requires no priori condition, and has low calculation cost. Simulation results shows a higher correct recognition probability, 100 ％ at SNR of higher than 6 dB, 98％ at 3dB and 90％ at -4 dB.

关键词： modulation recognition symbol rate non-linear transform wavelet transform

作者: Chisheng Li Shuliang Xu Guofeng Zha

作者单位: Department of Electronic and Information Engineering of Nanchang University Jiangxi, Nanchang, 330031, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 505-508

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）