Simulation of Fusion Localization based on a Single WiFi AP and PDR
首发时间:2017-12-18
Abstract:WiFi Localization and Pedestrian Dead Reckoning(PDR) are attracting increasing attention due to its wide deployment and ubiquity on smartphones respectively. In this paper, we propose a fusion system based on Kalman Filter(KF) algorithm which combines a Single WiFi AP positioning system and PDR. Single WiFi AP positions depends on ToF calculation and AoA calculation which are breakthroughs in recent researches. PDR is variant of dead reckoning system which rely on inertial sensors on mobile phones. The fusion system makes best use of the advantages and bypass the disadvantages. Simulation results demonstrate that the performance of the fusion system outperforms the two independent systems.
keywords: Indoor Positioning,Fusion Localization, Single AP,WiFi, PDR
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基于单WiFi接入点和行人航迹推算的融合定位仿真
摘要:WiFi定位和行人航迹推算(Pedestrian Dead Reckoning,PDR)分别由于其广泛部署与在智能手机上的普及得到了广泛的关注。本文提出一种基于卡尔曼滤波算法的融合系统,融合单WiFi 接入点定位系统和行人航迹推算系统。基于WiFi的ToF和AoA测量都是近几年最新的研究成果,单WiFi接入点定位依赖于ToF和AoA测量。行人航迹推算是航迹推算的一种应用,它依赖于移动设备上的惯性传感器。本文提出的融合系统各取两个独立定位或导航系统的优点,弥补各自的缺点。仿真结果表明,本文提出的基于单WiFi接入点的定位系统与行人航迹推算系统的融合系统性能超越两个独立的系统。
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