基于联邦卡尔曼的WiFi-PDR融合室内定位研究
首发时间:2012-12-27
摘要:本文主要讲述了基于联邦卡尔曼的WiFi/PDR融合定位研究。随着无线通信技术的发展,WiFi网络得到了广泛的应用,基于WiFi网络的室内定位技术成为近来人们研究的热点。由于室内环境的复杂性以及无线信号的波动性,单纯的基于WiFi信号的定位精度并不高。本文提出了用PDR(Pedestrian Dead Reckoning)辅助WiFi信号进行室内定位,将WiFi与PDR信息经Kalman滤波器融合作为最终定位结果,经实地测试,该方案使室内定位效果得到较大改善。
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The WiFi-PDR fusion indoor positioning research based on the federal Kalman
Abstract:This paper mainly focuses on the WiFi-PDR fusion positioning based on the federal Kalman. With the development of wireless communication technology, WiFi network has been widely used, Indoor positioning technology based on WiFi network has become the recent focus of research. Due to complexity Indoor environment and fluctuation of the wireless signal, a simple WiFi signal based positioning accuracy is not high. This paper presents with PDR assist WiFi signal indoor positioning, The WiFi and PDR information by Kalman filter fusion as the final positioning result, this scheme make indoor positioning performance has improved greatly after field testing.
Keywords: WiFi indoor positioning The federal kalman filter Pedestrian Dead Reckoning(PDR)
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