Indoor positioning algorithm based on adaptive step size and WiFi assisted

Home > Archive>Volume 40, Issue 12, 2017 >165-170

Indoor positioning algorithm based on adaptive step size and WiFi assisted
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                        Jin YanliangJin Yanliang
Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200072, China
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Zhang XiaoshuaiZhang Xiaoshuai
Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200072, China
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Qi QiQi Qi
Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200072, China
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Xie QiuyunXie Qiuyun
Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200072, China
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Zhou HuyangZhou Huyang
Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200072, China
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Affiliation:Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200072, China
Clc Number:TN92
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Abstract:

With increasing demand for indoor positioning, a lowcost inertial sensor positioning method based on PDR algorithm is favored. This paper proposed a sf relationship model on the basis of PDR algorithm . This model means step size may vary adaptively with step frequency changes. Because of PDR algorithm will inevitably produce accumulative error, this paper uses the absolute locations of WiFi signal access point to eliminate the accumulative error, while taking advantage of two adjacent WiFi signal access points to dynamically adjust the step size avoiding the influence of pedometer cumulative error. Experimental results show that this method can effectively improve indoor location accuracy.

Key words:indoor positioning; PDR algorithm; adaptive step size; WiFi adjustment

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Online: January 30,2018
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