Application of Bluetooth Low Energy and Back Propagation Network in Indoor Localization

• Main Authors: CHIA-WEI,LI, 李嘉暐
• Other Authors: Hsien-Hsin Chou
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/v4gjku

碩士 === 國立宜蘭大學 === 電子工程學系碩士班 === 106 === Today, positioning has played an important role in human's lives.Beside the commonly used GPS positioning, indoor positioning is also engaged extensive academic discussion since the development of science and technology. However, the multiple path problems commonly encountered in indoor positioning make the accuracy and stability of indoor positioning greatly affected. This article expects to use the advantages of Bluetooth Low Energy (BLE) device and combine Back propagation network and Kalman filter indoor positioning algorithm to effectively improve indoor positioning accuracy. A wireless sensor network (WSN) is constructed by using a Bluetooth low energy device to collect the Received Signal Strength Indicator (RSSI) by using a smart phone. The positioning effect of this method can reach the range within an average error of 1 meter, mainly due to the Kalman filter processing noise interference to enhance the learning recall efficiency of back propagation network to obtain the effective environmental parameters of the points to be tested and locates.