基于加权数据融合的传感器定位测距算法  

Sensor Positioning and Distance Measurement Algorithm Based on Weighted Data Fusion

作　　者：王秀玲[1] 王海晶[1] 金睿[1] 陈冶灿 

机构地区：[1]内蒙古工业大学信息工程学院,内蒙古呼和浩特010080

出　　处：《计算机仿真》2016年第3期250-253,共4页Computer Simulation

摘　　要：利用传感器对目标物体进行准确定位测距具有重要的应有价值。由于单个传感器只能定位,不能测距。利用传统算法进行目标物体定位测距的过程中,如果参与定位测距的传感器的数目较多,将会降低定位测距的效率。为解决上述问题,提出一种基于加权数据融合的传感器定位测距方法。建立传感器的定位测距模型,将传感器的几何定位方法与数据融合的方法进行融合,利用加权法对两个传感器的定位测距进行融合,能够获得定位测距的最优融合估计值,最后获得准确的定位测距数值。仿真结果表明,利用改进算法进行目标物体的定位测距,能够获得准确的定位测距值。In the paper, a method of sensor positioning and distance measurement was proposed based on weigh- ted data fusion. By using weighting method, the positioning and distance measurement of two sensors were fused, and the optimal fusion estimation value of the positioning and distance measurement can be obtained, so as to obtain the value of positioning and distance measurement. The model of sensor positioning and distance measurement was estab- lished, and the geometrical location method of sensor and data fusion method were fused. The fusion method was used to fuse the two sensors. The simulation results show that using the improved algorithm for the target object positioning and distance measurement can get the accurate value of positioning and distance measurement.

关 键 词：加权数据融合 传感器 定位测距 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]