无线通信中的信噪比估计算法研究  

Research on Signal-to-Noise Ratio Estimation Algorithm inWireless Communication

作　　者：刘剑锋 李瑞华 刘垚圻 苏泳涛[2,4] 胡金龙[2,4] LIU Jianfeng;LI Ruihua;LIU Yaoqi;SU Yongtao;HU Jinlong(National Mobile Satellite Communication Engineering Technology Research Center,Nanjing 210002,China;Wireless Communication Technology Research Center,Institute of Computing Technology of Chinese Academy of Sciences,Beijing 100190,China;School of Computer Science and Technology,University of Chinese Academy of Sciences,Beijing 100049,China;Nanjing Institute of Mobile Communications and Computing Fusion Innovation of Institute of Computing Technology of Chinese Academy of Sciences,Nanjing 211135,China)

机构地区：[1]国家移动卫星通信工程技术研究中心,南京210002 [2]中国科学院计算技术研究所无线通信技术研究中心,北京100190 [3]中国科学院大学计算机科学与技术学院,北京100049 [4]中国科学院计算技术研究所南京移动通信与计算融合创新研究院,南京211135

出　　处：《计算机工程与应用》2020年第18期82-89,共8页Computer Engineering and Applications

摘　　要：针对无线通信中的信噪比估计,对文献中经典的信噪比估计算法进行概述。为了能在含有滤波器和上下采样的仿真系统上对经典的信噪比估计算法进行仿真,搭建了三种不同的仿真系统,并基于这三种仿真系统研究了滤波器和上下采样对真实信噪比以及信噪比估计算法性能的影响。在具有滤波器和上下采样的仿真系统中,对经典的信噪比估计算法进行仿真验证,比较得到各种调制方式下性能较为优良的信噪比估计算法。For the estimation of signal-to-noise ratio in wireless communication,the classic signal-to-noise ratio estimation algorithm in the literature is summarized.In order to simulate the classic SNR estimation algorithm on the simulation system with filter and up-sampling,three different simulation systems are built,and based on these three simulation systems,the effects of filters and up-and-down sampling on real SNR and performance of SNR estimation algorithm are studied.In the simulation system with filter and up-sampling,the classical SNR estimation algorithm is simulated and verified,and the SNR estimation algorithm with better performance under various modulation modes is obtained.

关 键 词：信噪比估计 无线通信 滤波器 上下采样 

分 类 号：TN92[电子电信—通信与信息系统]