论文部分内容阅读
提出了一种基于行人航迹推算(PDR)、WiFi指纹识别、磁场匹配组合的室内行人导航定位方法。该方法仅利用智能手机中的内置传感器和现有WiFi热点即可提供连续、可靠的室内导航结果。使用智能手机实测数据进行了验证,实测结果表明,PDR结果连续、短期可靠,但随行走距离发散;WiFi误匹配率低,但误差波动较大,且其性能取决于路由器分布;磁场匹配误差波动较小,但是存在明显的误匹配。本文算法相比PDR+WiFi或是PDR+磁场匹配算法,不需要额外工作量,但精度和可靠性有明显提升。
A pedestrian navigation positioning method based on pedestrian track estimation (PDR), WiFi fingerprinting and magnetic field matching is proposed. This approach provides continuous, reliable indoor navigation results with built-in sensors in smartphones and existing WiFi hotspots. The results show that the PDR results are continuous, short-term and reliable, but divergence along walking distance; WiFi mismatch rate is low, but the error fluctuates greatly, and its performance depends on the router distribution; magnetic field matching error fluctuation Small, but there is a clear mismatch. Compared with PDR + WiFi or PDR + magnetic field matching algorithm, this algorithm does not require additional workload, but the accuracy and reliability are obviously improved.