基于相关性测序的TD-LTE分布式系统室内定位算法

李玲霞; 郭可可; 田增山; 周牧

doi:10.11999/JEIT170655

基于相关性测序的TD-LTE分布式系统室内定位算法

doi: 10.11999/JEIT170655

基金项目:

国家自然科学基金(61301126, 61471077)，长江学者和创新团队发展计划(IRT1299)，重庆市科委重点实验室专项经费，重庆市基础与前沿研究计划项目(重点)(cstc2015jcyjBX0065)，重庆市高校优秀成果转化资助项目(KJZH17117)，重庆邮电大学青年科学研究项目(A2013-31)

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出版历程
- 收稿日期: 2017-07-05
- 修回日期: 2018-01-30
- 刊出日期: 2018-05-19

TD-LTE Distributed Antenna System Based Indoor Localization Algorithm with Correlation Sequence

Funds:

The National Natural Science Foundation of China (61301126, 61471077), The Program for Changjiang Scholars and Innovative Research Team in University (IRT1299), The Special Fund of CSTC Key Laboratory, The Fundamental and Frontier Research Project of Chongqing (Key Project) (cstc2015jcyjBX0065), The University Outstanding Achievement Transformation Project of Chongqing (KJZH17117), The Young Science Research Program of Chongging University of Posts and Telecommunications (A2013-31)

摘要

摘要: 在分时长期演进(TD-LTE)室内分布式网络中，不同位置上的信号差异性不明显，仅利用标定参考点不能实现准确位置估计。该文针对TD-LTE室内分布式网络下不同位置处的信号相似性问题，提出基于相关性测序的定位算法。首先，利用相邻位置的信号信息构建运动序列数据库。其次，通过相关性测序算法，得到在线接收信号参考强度(RSRP)序列与运动序列间的匹配度，确定备选定位序列集。然后，计算备选定位序列与在线RSRP序列间的相关系数及平均欧氏距离。最后，根据匹配度、相关系数及平均欧氏距离，选取最优备选定位序列，实现对目标的位置估计。实验结果表明，该文所提定位算法有效提高了室内分布式天线系统下的定位精度。
- 室内定位 /
- 分时长期演进 /
- 分布式网络 /
- 相关性测序 /
- 运动序列数据库
Abstract: In the Time Division Long Term Evolution (TD-LTE) indoor distributed network, the signal differences among different positions are insignificant, thus accurate localization can not be achieved by reference point calibration. To solve this compelling problem, this paper proposes a correlation sequencing based localization algorithm. Firstly, the signal information among adjacent positions is utilized to construct Reference Signal Receiving Power (RSRP) motion sequence database. Next, correlation sequencing algorithm is conducted to obtain relation between real-time RSRP sequence and the ones in constructed database, which results in a set of candidate sequence. After that, the correlation coefficient and mean Euclidean distance between candidate sequences and the online one are calculated. Finally, the optimal candidate sequence is selected by a voting strategy to estimate targets position. Experimental results show that the proposed localization algorithm can effectively improve the localization accuracy within indoor distributed antenna system.
- Indoor localization /
- Time Division Long Term Evolution (TD-LTE) /
- Distributed network /
- Correlation sequencing /
- Motion sequence database

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