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散射通信中的信噪比估计算法研究
引用本文:毛晶晶,陈小溪,秦建存.散射通信中的信噪比估计算法研究[J].无线电通信技术,2011,37(5):1-3.
作者姓名:毛晶晶  陈小溪  秦建存
作者单位:中国电子科技集团公司第五十四研究所,河北石家庄,050081
摘    要:随着对流层散射通信技术的发展,自适应变速率通信成为了对流层散射通信的一个发展方向,这就需要对信噪比进行准确的估计。首先分析了散射信道的特性,给出其信道短期特性的近似模型。然后介绍了3种盲信噪比估计算法,推导出其在复信道条件下的算法公式。对3种算法进行仿真分析,仿真结果表明M2M4算法精确度较高、运算简单,更适用于散射通信。

关 键 词:对流层散射通信  信噪比  盲估计  QPSK信号

Research on SNR Estimation Algorithm for Tropospheric Communication
MAO Jing-jing,CHEN Xiao-xi,QIN Jian-cun.Research on SNR Estimation Algorithm for Tropospheric Communication[J].Radio Communications Technology,2011,37(5):1-3.
Authors:MAO Jing-jing  CHEN Xiao-xi  QIN Jian-cun
Affiliation:MAO Jing-jing,CHEN Xiao-xi,QIN Jian-cun(The 54th Research Institute of CETC,Shijiazhuang Hebei 050081,China)
Abstract:With the rapid development of tropospheric communication technologies, the adaptive data-rate communications becomes the development direction of troposphere communications, so the accurate estimation of signal-to-noise-ratio is urgently needed. Firstly, we analyze the characteristics of the scattering channel and propose an approximate model of the channel's short-term characteristics. Then we describe three SNR estimation algorithms and derive their algorithms formula in complex channel. Finally, the simulation analyses show that the M2M4 algorithm has the advantages of high accuracy and low complexity. It is better suited to be used in the tropospheric communications.
Keywords:tropospheric communication  SNR  blind estimation  QPSK signal
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