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

被引:0
作者
Zhang, Junhui [1 ]
Cheng, Feihong [1 ]
Huang, Jiyan [2 ]
机构
[1] North Engn Co LTD, Crcc, Electrificat Bur Grp, Taiyuan, Peoples R China
[2] UESTC, Chengdu, Peoples R China
来源
PROCEEDINGS OF THE 2016 3RD INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING, MANUFACTURING TECHNOLOGY AND CONTROL | 2016年 / 67卷
关键词
RMSE; RSS; LS; localization; dimension reduce; positioning accuracy;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:1095 / 1099
页数:5
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