| 基于WiFi辅助的自适应步长的室内定位算法 |
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| 引用本文： | 金彦亮,张晓帅,齐崎,谢秋云,周祜旸. 基于WiFi辅助的自适应步长的室内定位算法[J]. 电子测量技术, 2017, 40(12): 165-170 |
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| 作者姓名： | 金彦亮 张晓帅 齐崎 谢秋云 周祜旸 |
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| 作者单位： | 上海大学 特种光纤与光接入重点实验室 上海 200072,上海大学 特种光纤与光接入重点实验室 上海 200072,上海大学 特种光纤与光接入重点实验室 上海 200072,上海大学 特种光纤与光接入重点实验室 上海 200072,上海大学 特种光纤与光接入重点实验室 上海 200072 |
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| 摘 要： | 随着室内定位的需求越来越多,基于PDR算法的低成本惯性传感器定位方法备受青睐。在PDR算法的基础上,提出了一种步长可随着步频自适应变化的s f关系模型。同时针对PDR算法的误差累积问题,利用WiFi信号的接入点位置的绝对坐标对定位误差进行校正,利用连续的两个WiFi信号接入点位置辅助动态调整步长,避免了长时间的计步累积误差对步长的影响。实验验证该方法可有效提高室内定位的精度。
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| 关 键 词： | 室内定位 PDR算法 自适应步长 WiFi辅助校准 |
Indoor positioning algorithm based on adaptive step size and WiFi assisted |
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| Jin Yanliang,Zhang Xiaoshuai,Qi Qi,Xie Qiuyun and Zhou Huyang. Indoor positioning algorithm based on adaptive step size and WiFi assisted[J]. Electronic Measurement Technology, 2017, 40(12): 165-170 |
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| Authors: | Jin Yanliang Zhang Xiaoshuai Qi Qi Xie Qiuyun Zhou Huyang |
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| Affiliation: | Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200072, China,Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200072, China,Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200072, China,Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200072, China and Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200072, China |
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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. |
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| Keywords: | indoor positioning PDR algorithm adaptive step size WiFi adjustment |
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