摘要
无线传感器网络的目标跟踪技术是目前研究的热点之一。被动红外传感器对活动的人具有较高的灵敏度,而目前被动红外多用于双元目标检测,并未实现目标定位,限制了被动红外的应用。本文提出了无线传感器网络的被动红外目标跟踪模型PITM。在该模型中,多个红外传感器节点通过协同可以确定目标的位置和运动速度。仿真实验表明,当节点密度为每1000m224个节点时,定位平均误差在0.5m左右,且节点密度越大,定位误差越小。
Target tracking in wireless sensor networks is a hot research issue. Passive infrared sensors are highly sensitive in detecting moving people. However, passive infrared detecting is mostly used in binary detecting but not in target tracing. This paper proposes a passive infrared target tracing model （PITM） for wireless sensor networks, which can detect the position and moving speed of the target with the cooperation of multiple infrared sensors. We validate the model by simulating, and the simulation results show that with the density of 24 sensors in 1 000 m^2 , the average position error of PITM is about 0. 5 m. With the density of node increasing, the average target position error is decreasing.
出处
《传感技术学报》
CAS
CSCD
北大核心
2008年第11期1929-1934,共6页
Chinese Journal of Sensors and Actuators
基金
国家自然科学基金资助(60773017)"可生存的车载网络环境数据可用性关键技术研究"
关键词
无线传感器网络
目标跟踪
被动红外
wireless sensor networks
target tracking
passive infrared
