基于智能手机信息的行人无缝定位实现研究

Realization of Pedestrian Seamless Positioning Based on the Multi-Sensor of the Smartphone

关键词:  行人导航  无缝定位  智能手机  室内外判别  组合导航  扩展 Kalman滤波

Key words:  Pedestrian navigation  Seamless positioning  Smartphone  Indoor/Outdoor detection  Integrated navigation  Extended Kalman filter

摘要:

微电子技术的日益发展促使智能手机传感器性能获得极大提升,智能手机逐步成为行人导航定位的关键设备,为人们提供各类位置增值服务。针对行人室内外一体化高精度导航需求,基于智能手机自身的多传感器实现了一套行人室内外无缝定位系统,并采用手机光、磁、惯性、卫星传感器信息融合优化了室内外判别性能。在 Eclipse环境下基于Java语言设计实现了智能手机室内外无缝定位软件,实验结果表明,行人室内外无缝定位软件能够实现行人室内外无盲区、高精度定位。

Abstract:

With the continuous innovation of microelectronics technology,the performance of smartphone’s chips increases. Smartphone becomes a reliable platform of pedestrian navigation,which makes it possible to provide kinds of the service based on the localization for people. To meet the demands of pedestrian indoor/outdoor seamless high precise navigation,a smartphone seamless positioning methodology is realized in this paper. The light sensor,the magnetic sensor,the inertial sensor and the GNSS(Global Navigation Satellite System) are used together to get the information to improve the accuracy of the location identification. An indoor/outdoor seamless positioning software has been designed and implemented by using the Java language under the Eclipse. The result of test shows that the smartphone seamless positioning software can achieve the indoor and outdoor pedestrian navigation with noblind area and high-precision.