移动通信中基于LCR-DSR技术的信道参数估计算法分析与改进  

Evaluation and improvement of LCR-DSR channel parameter estimator in mobile communications

作　　者：姜胜园 华惊宇[1] 卢为党[2] 周凯[1] 徐志江[1] Shengyuan JIANG1,Jingyu HUA1,Weidang LU2,Kai ZHOU1,Zhijiang XU1(1. College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China; 2. Zhejiang Provincial Key Laboratory of Communication Networks and Applications, Hangzhou 310023, Chin)

机构地区：[1]浙江工业大学信息工程学院,杭州310023 [2]浙江工业大学通信网技术应用研究省重点实验室,杭州310023

出　　处：《中国科学：信息科学》2018年第3期349-358,共10页Scientia Sinica(Informationis)

基　　金：国家自然科学基金(批准号:61471322)资助项目

摘　　要：本文分析以及优化一种采用双采样率(double sampling rate,DSR)技术的信道参数联合估计算法.论文首先对基于电平通过率(level crossing rate,LCR)的Doppler频移估计算法进行分析,所采用的分析度量是均方误差(mean square error,MSE).其次,将分析得到的MSE与信道采样间隔之间的关系用于优化所研究的算法.最终论文的分析表明最优信道采样间隔可以获得更好的Doppler频移和信噪比(signal-to-noise ratio,SNR)估计性能,这一点也在仿真中获得了证实.仿真结果显示优化后的算法具有最优的估计性能.Evaluation and improvement of LCR-DSR channel parameter estimator in mobile communications This paper presents a comprehensive investigation on the optimization of a joint estimator employing the double sampling rate（DSR） technique,in which the Doppler shift estimation based on the level crossing rate（LCR）has been evaluated analytically in terms of the mean square error（MSE）.Subsequently,the relationship between the MSE and the channel sampling interval is presented for optimization.Finally,the optimal channel sampling interval is obtained as well as an improved performance of the signal-to-noise ratio（SNR） and Doppler shift estimation.Sufficient simulations demonstrate a good performance for the proposed algorithm.

关 键 词：电平通过率 SNR Doppler频移 双采样率 移动通信 

分 类 号：TN929.5[电子电信—通信与信息系统]