中文摘要：

面对室内定位的实际应用需求，分析了基于接收信号强度指纹法定位技术精度较低、单纯的惯性导航累积误差较大等问题，采用基于信赖度的联合定位算法对多种信息进行融合处理，以获得较高的综合定位精度。通过基于ZigBee的无线传感器网络平台及多种MEMS运动传感器的联合，设计并实现了多信息融合的室内定位演示系统。由于多种信息的融合，不需要依赖大量样本的指纹库，从而降低了实现过程中离线指纹库建立的工作量。经实验数据分析，基于信赖度的联合定位方法具有较高的定位精度和较低的实现复杂度。

英文摘要：

In the indoor positioning, the accuracy of the fingerprint method based on the received signal strength is low, and the simplex inertial navigation has the problems of error accumulating, so the localization algorithm based on reliability for a variety of information fusion processing is presented. The wireless sensor network platform for demonstration based on ZigBee with a variety of joint MEMS motion sensors was designed and implemented. Due to the information fusion, the establishing of the offline finger- print library is simplified. By the analysis of experimental data, the joint positioning method has higher precision and lower implementation complexity.