摘要
针对GPS在复杂环境下的定位功能受到限制的问题,提出了利用GPS和Zigbee进行组合定位的无缝定位方法,并采用扩展卡尔曼滤波器来解决2个不同传感器之间的数据融合问题,实现了2种定位方式之间在复杂环境下的无缝切换,可应用在某些GPS信号受限的定位场合.实验表明,采用扩展卡尔曼滤波对融合后的GPS和Zigbee信号轨迹进行处理后,算法过程稳定,能有效地提高系统的定位精度、覆盖度和实时性.
Aiming at GPS function encounters quite a lot of restriction in complicated situation and different environment, using GPS and Zigbee as seamless localization methods, and using extended kalman filter to solve the data fusion caused by different sensors to achieve the localization swithcing between these two seamless positioning ways. What ＇s more, it can be applied to positioning occasions in which the environment is much more complex. The experimental results show that since the extended kalman filtering has been used in GPS and Zigbee signal processing, algorithm process is more stable and location accuracy and real-time quality of the system have been improved.
出处
《宁夏大学学报（自然科学版）》
CAS
2013年第1期40-44,共5页
Journal of Ningxia University(Natural Science Edition)
基金
北京大学数字中国研究院"为新研究基金"资助项目(W07SN11)
关键词
GPS
ZIGBEE
无缝定位
扩展卡尔曼滤波
global positioning system
Zigbee
seamless positioning
extended Kalman filtering
