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Vol. 157, Issue 10, October 2013, pp. 68-73




A Trilaminar Data Fusion Localization Algorithm Supported by Sensor Network
1, 2 Jianqi Liu, 1 Qinruo Wang, 3 Xiaohu Chen, 3 Bi Zeng

1 School of Automation, Guangdong University of Technology, Guang Zhou, 510006, China

2 School of Information Engineering, Guangdong Jidian Polytechnic, Guang Zhou, 510515, China

3 School of Computer, Guangdong University of Technology, Guang Zhou, 510006, China
E-mail: liujianqi@ieee.org, wangqr2006@gdut.edu.cn, 409980812@qq.cn, z9215@163.com


Received: 8 August 2013   /Accepted: 25 September 2013   /Published: 31 October 2013

Digital Sensors and Sensor Sysstems


Abstract: In order to overcome some problems, such as its low accuracy and failure in evaluating its performance, this paper use the weighted trilaminar data fusion of LS-RSSI to improve the incipient localization estimate values by analyze and study the lease square (LS) and Received Signal Strength Indication (RSSI) algorithm. As a result, we obtain a trilaminar data fusion localization algorithm of LS-RSSI, which has a better optimized localization estimate value. This algorithm has the advantages of limited numbers of calculation and is able to reduce the localization errors. As shown in the simulation, we are able to get a much more accuracy and stable localization estimate value with the trilaminar data fusion technology.


Keywords: Trilaminar data fusion, LS, Data weighted, RSSI.


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