A trilaminar data fusion localization algorithm supported by sensor network

作者：Liu Jianqi; Wang Qinruo; Chen Xiaohu; Zeng Bi

来源：Sensors and Transducers, 2013, 157(10): 68-73.

• Data weighted
• Fusion technology
• Localization algorithm
• Localization errors
• LS
• Received signal strength indication
• RSSI

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.

• 出版日期2013