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基于克拉美-罗下界的移动网络定位性能分析 被引量:2

Analysis of Mobile Network Positioning Performance Based on Cramér-Rao Lower Bound
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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.
作者 李典锋 韦再雪 桑林 Li Dianfeng;Wei Zaixue;Sang Lin(Beijing University of Posts and Telecommunications, Beijing 100876, China)
出处 《信息通信技术》 2017年第6期67-73,共7页 Information and communications Technologies
关键词 毫米波通信 自相关特性 到达时间 克拉美-罗下界 MmWave Communication Autocorrelation Characteristic TOA Cramér-Rao Lower Bound
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  • 1冯富强,张海彦,陈永光.基于实验数据的时差定位系统定位精度推算[J].现代雷达,2005,27(12):11-13. 被引量:4
  • 2王玲,魏星,万建伟,刘云辉.基于TDOA定位算法的模糊解消除方法[J].计算机工程与科学,2006,28(3):74-75. 被引量:9
  • 3刁鸣,王越.基于多普勒频率变化率的无源定位算法研究[J].系统工程与电子技术,2006,28(5):696-698. 被引量:25
  • 4胡来招.无源定位[M].北京:国防工业出版社,2005.150-183.
  • 5Chan Y T, Ho K C. A simple and efficient estimator for hyper bolic location[J]. IEEE Trans. on Signal Processing, 1994,42 (8) :1905 - 1915.
  • 6Yang K, An .1 P, 13u X Y, et al. Constrained total least squares loca tion algorithm using timedifferencc-of-arrival measurements[J]. IEEE Trans. on Vehicular Technology, 2010, 59(3) : 1558 - 1562.
  • 7Yang K H, I.uo Z Q. Robust target localization with multiple sensors using time difference of arrivals[C]//Proc, of the IEEE Radar Conference, 2008 : 1 - 6.
  • 8Ho K C. Bias reduction for an explicit solution of source locali zation using TDOA[J]. IEEE Trans. on Signal Processing, 2012, 60(5) :2101-2114.
  • 9Ho K C, Chan Y T. Solution and per{ormance analysis of geo-location by TDOA[J]. IEEE Trans. on Aerospace and Elec- tronic Systems, 1993, 29(4) : 1311 - 1322.
  • 10Ho K C, Lu X N, Kovavisaruch L. Source localization using TDOA and FDOA measurements in the presence of receiver lo- cation errors: analysis and solution[J]. IEEE Trans. on Sig- nal Processing, 2007,55(2) :684 - 696.

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