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

LI Lingxia; GUO Keke; TIAN Zengshan; ZHOU Mu

doi:10.11999/JEIT170655

Volume 40 Issue 5

May 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(5): 1059-1065

LI Lingxia, GUO Keke, TIAN Zengshan, ZHOU Mu. TD-LTE Distributed Antenna System Based Indoor Localization Algorithm with Correlation Sequence[J]. Journal of Electronics & Information Technology, 2018, 40(5): 1059-1065. doi: 10.11999/JEIT170655

Citation:

LI Lingxia, GUO Keke, TIAN Zengshan, ZHOU Mu. TD-LTE Distributed Antenna System Based Indoor Localization Algorithm with Correlation Sequence[J]. Journal of Electronics & Information Technology, 2018, 40(5): 1059-1065. doi: 10.11999/JEIT170655

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

doi: 10.11999/JEIT170655

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)

Received Date: 2017-07-05
Rev Recd Date: 2018-01-30
Publish Date: 2018-05-19

Abstract

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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References(26)

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