Android平台下PDR辅助定位SDK的设计与实现

发布时间：2018-03-30 00:29

本文选题：行人轨迹推算　切入点：软件开发工具包　出处：《内蒙古大学》2017年硕士论文

【摘要】：近年来,基于位置服务(Location Based Service,LBS)的兴起加快了移动智能领域的发展,越来越多的移动开发者投身于LBS应用开发。与此同时,对位置信息获取的精确性、稳定性、节能性提出了更高的要求。本文针对上述需求,结合基于智能手机惯性传感器的辅助定位方法有助于降低能耗、提高定位精度的特点,在Android平台下设计并实现了利用行人轨迹推算(Pedestrian Dead Reckoning,PDR)算法进行辅助定位的SDK。首先,设计了一个可以容纳与拓展不同定位、辅助定位算法以及融合策略的框架。并在此框架中封装了 GPS、基站、Wi-Fi定位算法,用于辅助定位的面向非约束智能手机的PDR算法,以及基于粒子滤波的融合算法。其次,本文实现了一系列辅助工具来拓展SDK的功能。其中包含了用于显示定位结果与描述运动轨迹的地图工具,用于分析定位数据的图表工具等。最后,对上述功能进行了单元测试,验证了功能的可行性。并基于粒子滤波的融合算法,使用面向非约束智能手机PDR算法对Wi-Fi指纹定位进行了辅助,与仅使用Wi-Fi指纹定位的条件下对比分析了定位结果,验证了该融合定位算法的可行性。综上所诉,本文为LBS应用开发人员提供了一个可行的定位SDK,为PDR算法研究人员提供了一个便捷的研究环境。
[Abstract]:In recent years, the rise of Location-Based Based Service (LBS-based) has accelerated the development of mobile intelligence, and more and more mobile developers have devoted themselves to the development of LBS applications.At the same time, higher requirements for accuracy, stability and energy saving of location information acquisition are put forward.In order to meet the above requirements, combined with the intelligent mobile phone inertial sensor based on the auxiliary positioning method is helpful to reduce energy consumption, improve positioning accuracy characteristics,Based on the Android platform, an aided location algorithm based on Pedestrian Dead Reckoning (PDR) algorithm is designed and implemented.Firstly, a framework is designed to accommodate and extend different localization, auxiliary location algorithms and fusion strategies.In this framework, we encapsulate GPS, base station Wi-Fi location algorithm, PDR algorithm for unconstrained smart phone and fusion algorithm based on particle filter.Secondly, this paper implements a series of auxiliary tools to extend the function of SDK.It includes a map tool for displaying the location result and describing the motion track, a graphic tool for analyzing the location data and so on.Finally, the unit test of the above function is carried out, and the feasibility of the function is verified.Based on the particle filter fusion algorithm, the PDR algorithm for unconstrained smart phone is used to assist the Wi-Fi fingerprint location. The results are compared with those using only Wi-Fi fingerprint location, and the feasibility of the fusion algorithm is verified.In summary, this paper provides a feasible location for LBS application developers and a convenient research environment for PDR algorithm researchers.
【学位授予单位】：内蒙古大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.52;TP316

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