计算机工程与应用2019，Vol.55Issue(9)：65-71,167,8.DOI:10.3778/j.issn.1002-8331.1801-0416
基于改进粒子滤波的室内自适应定位算法
Indoor Self-Adaption Positioning Algorithm Based on Improved Particle Filter
摘要
Abstract
Accurate indoor positioning system has important research and application value. There are many constraints when GPS is used in indoor positioning so that it cannot provide accurate indoor positioning service, so how to improve the accuracy of indoor positioning system has become the focus of current research. In order to reduce the indoor environ-ment impact and improve the positioning accuracy, an indoor positioning algorithm based on improved particle filter is proposed in this paper. The main idea of the algorithm is to receive transmitted signal from the AP by mobile devices, like mobile phones, and then to set up a signal attenuation model according to indoor topology. The signal attenuation model is used to assist particle filtering to locate the mobile devices. In the positioning process, mobile devices use self-adaption signal acquisition methods to receive signals, and the idea of random walk and the method of auto-optimal re-sampling are introduced to improved particle filter. Simulation results show that this algorithm can effectively improve the accuracy and robustness of indoor positioning.关键词
室内定位/信号衰减模型/自适应算法/改进粒子滤波Key words
indoor positioning/ signal attenuation model/ self-adaption method/ improve particle filter分类
信息技术与安全科学引用本文复制引用
胡东海,邵元,陈莹,夏士雄..基于改进粒子滤波的室内自适应定位算法[J].计算机工程与应用,2019,55(9):65-71,167,8.基金项目
国家重点研发计划(No.2016YFC060908) （No.2016YFC060908）
国家自然科学基金(No.51674255) （No.51674255）
江苏省产学研前瞻性联合研究项目(No.BY2014028-09,No.BY2016026-03) （No.BY2014028-09,No.BY2016026-03）
中国博士后特别资助项目(No.2016T90523) （No.2016T90523）
中国矿业大学创新创业基金(No.DC201642). （No.DC201642）
