无线传感器网络被动红外目标跟踪技术研究

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。

Research of passive infrared wireless sensor network target tracing

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 m2,the average position error of PITM is about 0.5 m.With the density of node increasing,the average target position error is decreasing.