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测距传感器系统的测距数据在线自适应加权融合
引用本文:梁毓明,徐立鸿,朱丙坤.测距传感器系统的测距数据在线自适应加权融合[J].工业仪表与自动化装置,2009(5):26-29.
作者姓名:梁毓明  徐立鸿  朱丙坤
作者单位:1. 同济大学,电子与信息工程学院,上海,201804;江西理工大学,机电工程学院,江西,赣州,341000
2. 同济大学,电子与信息工程学院,上海,201804
基金项目:国家自然科学基金项目资助 
摘    要:针对移动机器人的测距系统采用红外线与超声波传感器共同测距,避免了因使用单个传感器进行多次测量而降低系统的实时性和产生信号串扰问题。应用自适应加权数据融合算法对实时测量数据进行在线融合估计,实现两种传感器在功能上的互补。实验结果表明,该方法提高了整体测距精度,得到了被测距离更加准确的估计。

关 键 词:红外线传感器  超声波传感器  自适应加权融合

Ranging data adaptive weighted fusion for ranging sensors system on-line
LIANG Yuming,XU Lihong,ZHU Bingkun.Ranging data adaptive weighted fusion for ranging sensors system on-line[J].Industrial Instrumentation & Automation,2009(5):26-29.
Authors:LIANG Yuming  XU Lihong  ZHU Bingkun
Affiliation:LIANG Yuming ,XU Lihong ,ZHU Bingkun ( 1. School of Electronics and Information Engineering, Tongji University, Shanghai 210804, China; 2. School of Mechanical and Electric Engineering, Jiangxi University of Science and Technology, Jiangxi Ganzhou 341000, China)
Abstract:The ranging system of the mobile robot ranged with infrared sensor and ultrasonic sensor together,which could avoid the problem that used one sensor ranging many times reduce the system real-time and jam the signal.The adaptive weighted data fusion algorithm estimated the real-time measurement data on-line,and it could realize the complementation as for two kinds of sensors.The experiment result indicated that the algorithm could improve the ranging precision,and obtained more accurate estimation of the distance.
Keywords:infrared sensor  ultrasonic sensor  adaptive weighted fusion
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