RSS Based Location technique with the unknown transmit power and PLE using dimension reduction

DOI

10.2991/icmemtc-16.2016.216How to use a DOI?

Keywords

RMSE; RSS; LS; localization; dimension reduce; positioning accuracy.

Abstract

Localization of mobile station (MS) has now gained considerable attention. Since the transmit power and path loss exponent (PLE) are two critical parameters in received signal strength (RSS) localization technique, many RSS based location methods considering the case that both of the transmit power and PLE are unknown have been proposed in the literature. However, one of major problems for these methods is computational complexity. Currently, MSs usually have insufficient power to afford the high computational burden. In order to meet the actual situation, the balance between positioning accuracy and computational complexity is required. This paper proposes a novel RSS based location method to reduce the computational complexity using dimension reduction technique. Simulations show that the proposed method can provide similar performance as the existing four-dimensional search methods whereas the computational burden of the proposed method is much less.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Junhui Zhang
AU  - Feihong Cheng
AU  - Jiyan Huang
PY  - 2016/04
DA  - 2016/04
TI  - RSS Based Location technique with the unknown transmit power and PLE using dimension reduction
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1095
EP  - 1099
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.216
DO  - 10.2991/icmemtc-16.2016.216
ID  - Zhang2016/04
ER  -