动态热释电传感器网络目标跟踪技术研究

提出了一种动态热释电红外辐射传感器网络的目 标 跟踪方法,使热释电传感器在运动状态下进行目标探测,通过采集、分析 动态热释电传感器输出的信号特征可得到目标的角度信息；使用传感器网络目标定位数 学模型, 对多个节点的信息进行融合即可实现运动目标的定位及跟踪,并有效解决了热释电 探测距离及探测角度的矛盾问题。实验表明,所提方法可在大范围对目标进行定时监控及自 主跟踪,在探测范围及灵敏度、定位精度 等方面具有很大优势。

Research on target tracking based on dynamic pyroelectric infrared sensor network

A new target tracking method based on pyroelectric infrared (IR) sensor network is presented in this paper.Large regions can be monitored in real time,and a tar get can be also detected and autonomously tracked by the pyroelectric infrared sensor network.In this met hod,instead of modulation of IR radiation by Fresnel lens which is complicated and with small d etection area,the pyroelectric sensor uses infrared lens as its optical module which has a l ong detection distance and is more convenient for signal processing.With this new method,the p yroelectric infrared sensor swings backward and forward in the range of 0°-90°,w hich has a large detection area and high sensitivity.By collecting and analyzing the characteristics of the sig nal output from the dynamic pyroelectric infrared sensor,angle information of the target can be obt ained.The target information can be accurately extracted by using frame difference method.Inform ation fusion of multiple nodes can achieve localization and tracking of the moving target by usi ng the sensor network target localization model.The method is an effective solution to the contradict ions between distance and angle detected by pyroelectric infrared sensor.The experimental re sults demonstrate that the proposed method has feasibility in detection range,s ensitivity and locating accuracy.