Psj International Ltd.

Hao-Wei Chan

Ruey-Beei Wu

Alexander I Chi Lai

Shih-Yi Huang

A ranging-type positioning system and a ranging-type positioning method based on crowdsourced calibration are provided. In a crowdsourcing stage, pedestrian dead reckoning (PDR) is performed based on readings of inertial measurement units on a mobile device, a particle filter (PF) is executed to reconstruct a path of the mobile device with map information of the target field, and FTM data records are collected. Then, a ranging model based on a neural network can be used to calibrate and inversely infer approximate locations of unknown base stations. The optimized ranging model can estimate estimated distances and standard deviations based on the FTM data records obtained in the crowdsourcing stage. In a positioning stage, a position of a to-be-positioned mobile device can be positioned by having the ranging model operated in cooperation with the PDR and the PF.

Ranging-type positioning system and ranging-type positioning method based on crowdsourced calibration

An antenna device, a positioning system and a positioning method are provided. The positioning method includes: dispersedly arranging a plurality of receivers to form a target area, in which each of the receivers includes the antenna device; receiving a wireless signal from the target area through the antenna device, and generating a difference signal strength and a sum signal strength; calculating, for each of the receivers, a sum-difference ratio between the difference signal strength and the sum signal strength, and estimating a corresponding one of estimated incident angles according to the sum-difference ratio and a comparison table; executing, in response to obtaining the estimated incident angles corresponding to the receivers, a positioning algorithm according to the estimated incident angles, so as to generate a plurality of possible positions; and executing an optimization algorithm to calculate a best estimated position of the possible positions.

Growing community of inventors

Taichung, Taiwan

Hao-Wei Chan