基于克拉美-罗下界的移动网络定位性能分析  

Analysis of Mobile Network Positioning Performance Based on Cramér-Rao Lower Bound

作　　者：李典锋 韦再雪[1] 桑林[1] Li Dianfeng;Wei Zaixue;Sang Lin(Beijing University of Posts and Telecommunications, Beijing 100876, China)

机构地区：[1]北京邮电大学无线技术与理论研究室,北京100876

出　　处：《信息通信技术》2017年第6期67-73,共7页Information and communications Technologies

摘　　要：随着5G网络研究的不断深入,毫米波通信将成为5G的关键技术之一。由于毫米波波形的自相关特性能够影响时间估计的精度,所以影响基于到达时间(TOA)的定位方法的定位精度。为了进一步提高终端定位精度,文章运用估计理论推导了位置估计的克拉美-罗下界,列举几种毫米波波形,并通过仿真比较所列波形的定位性能,研究结果可为毫米波通信的波形选取提供理论支持。With the further research of the5G network,millimeter-wave(mmWave)communication will become one of the key technologies of5G.Because the autocorrelation characteristic of the mmWave waveform can affect the accuracy of the time estimation,when the autocorrelation characteristic is better,the time estimation will be more accurate,and the mobile network positioning based on time of arrival(TOA)can obtain higher positioning accuracy.In order to further improve the accuracy of terminal positioning,the Cramér-Rao lower bound of the position estimation is deduced by the estimation theory in this paper.Several mmWave waveforms are listed,and the positioning performance of the listed waveforms is compared by simulation.The results of the study can provide theoretical support for selection of waveform in mmWave communication.

关 键 词：毫米波通信 自相关特性 到达时间 克拉美-罗下界 

分 类 号：TN929.5[电子电信—通信与信息系统]