Resumen de Research on a reference signal optimisation algorithm for indoor Bluetooth positioning
Heng Luo, Xinyu Hu, YouMing Zou, Xinglei Jing, Chengyi Song, Qidong Ni
GPS has a sharp performance decline in terms of accuracy indoors due to the complex building structure. A combinedalgorithm, targeting at received signal strength indication (RSSI) calibration optimisation, depending on deep neural net-work training via input vectorΓand the target output vectorΨ, termed reference signal optimisation algorithm (RSOA)is proposed to improve the positioning accuracy in the indoor Bluetooth positioning networks. Experimental results showthat the relative error of the proposed RSOA between the estimated results and the measured ones can reach as low as0.2%, and the absolute errors can be reduced to 0.13 m at most within 10 m
