摘要
利用配备有多重反射光学装置的热释电红外传感器感知节点接收运动人体的红外辐射能量。通过采集和分析红外传感器输出的模拟信号的特征,可以提取人体的位置信息。当受试者沿离红外感知节点不同距离的路径通过节点观测区域时,红外信号的最大峰值会随人体与节点距离的增大而下降。在此基础上,设计了一种基于红外信号最大峰值的定位方法。与质心定位算法相比,该方法的最大定位误差减少了87.89%。
A pyroelectric infrared sensor equiped with a multiple reflection optical device was used to receive the infrared radiation emitted from a human body. By collecting and analyzing the signatures of the analog signals outputted from the pyroelectric infrared sensor, the location information of the human body could be extracted. When a person was passing through the area to be observed at a different distance from the infrared sensing node, the maximum peak of the infrared signal would be decreased with the increasing of the distance from the person to the infrared sensing node. A novel method for target localization based on the maximum peak of infrared signals outputted from the pyroelectric infrared sensor was designed. Compared with the centroid localization algorithm, the maximum localization error of this method was reduced by 87.89 %.
出处
《红外》
CAS
2011年第12期17-22,共6页
Infrared
基金
航空科学基金(2008ZD51056)
关键词
热释电红外传感器
峰值检测
目标定位
无线传感器网络
pyroelectric infrared sensor
peak detection
target localization
wireless sensor network
