[1]陈萍,熊蔚明.一种可用于莱斯衰落信道的信噪比估计算法[J].东南大学学报(自然科学版),2017,47(2):209-214.[doi:10.3969/j.issn.1001-0505.2017.02.002]
　Chen Ping,Xiong Weiming.An SNR estimation algorithm for Rician fading channel[J].Journal of Southeast University (Natural Science Edition),2017,47(2):209-214.[doi:10.3969/j.issn.1001-0505.2017.02.002]
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一种可用于莱斯衰落信道的信噪比估计算法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
47
期数:
2017年第2期
页码:
209-214
栏目:
信息与通信工程
出版日期:
2017-03-20

文章信息/Info

Title:
An SNR estimation algorithm for Rician fading channel
作者:
陈萍1; 2; 3; 熊蔚明1
1中国科学院国家空间科学中心, 北京 100190; 2中国科学院大学, 北京 100049; 3中国船舶工业系统工程研究院, 北京 100094
Author(s):
Chen Ping1; 2; 3;  Xiong Weiming1
1National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
2University of Chinese Academy of Sciences, Beijing 100049, China
3China State Shipbuilding Corporation System Engineering Research Institute, Beijing 100094, China
关键词:
信噪比估计;  莱斯衰落信道;  多项式拟合;  非数据辅助
Keywords:
signal-to-noise ratio(SNR)estimation;  Rician fading channel;  polynomial fitting;  non-data-aided
分类号:
TN911.22
DOI:
10.3969/j.issn.1001-0505.2017.02.002
摘要:
针对莱斯衰落信道条件下,常规非数据辅助信噪比估计算法复杂度高、适用调制类型单一等问题,提出了一种信噪比估计算法.在建立系统等效模型的基础上,推导出信噪比与接收信号期望和方差的关系表达式.由于在莱斯衰落信道下,该表达式无解析解,故提出用多项式拟合法得到一定范围内的信噪比近似解.仿真和对比分析实验表明,提出的信噪比估计算法不需要使用训练序列,不仅对低阶和高阶多种调制方式具有普适性,而且当信道莱斯因子K=10 dB且信噪比为5~25 dB时,归一化估计偏差均小于0.2,计算时间复杂度与M2M4算法相当,适合一般工程应用需要.
Abstract:
Aimed at the problems in Rician fading channel, i.e. general Non-Data-Aided signal-to-noise ratio(SNR)estimation algorithms were very complex and usually suitable for a certain modulation pattern. This paper proposed an SNR estimation algorithm. On the basis of establishing equivalent system model, the relationship expression of SNR, expectation and variance of received signals were deduced. Under the conditions of the Rician fading channel, the deduced expression had no analytic solutions, thus using the polynomial fitting method to obtain approximate solutions of SNR during a certain range. Simulations and comparison experiments show that, the algorithm does not need any training sequence and is universal for both lower and higher order modulations. If the channel Rician factor K=10 dB and the SNR is between 5 and 25 dB, the normalization bias is lower than 0.2, the computational complexity is comparable with M2M4 algorithm, thus satisfying requirements of general engineering application.

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备注/Memo

备注/Memo:
收稿日期: 2016-07-18.
作者简介: 陈萍(1983—),女,博士生;熊蔚明(联系人),男,研究员,博士生导师,xwm@nssc.ac.cn.
基金项目: 国家高技术发展计划(863计划)资助项目(2011AA7033045).
引用本文: 陈萍,熊蔚明.一种可用于莱斯衰落信道的信噪比估计算法[J].东南大学学报(自然科学版),2017,47(2):209-214. DOI:10.3969/j.issn.1001-0505.2017.02.002.
更新日期/Last Update: 2017-03-20