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机构地区:[1]中北大学电子测试技术国家重点实验室,仪器科学与动态测试教育部重点实验室,山西太原030051
出 处:《光电子.激光》2013年第12期2399-2403,共5页Journal of Optoelectronics·Laser
基 金:国家自然科学基金(60871041);国家"863计划"(011AA040404)资助项目
摘 要: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。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 target can be also detected and autono- mously tracked by the pyroelectric infrared sensor network. In this method,instead of modulation of IR radiation by Fresnel lens which is complicated and with small detection area, the pyroelectric sensor uses infrared lens as its optical module which has a long detection distance and is more convenient for signal processing. With this new method,the pyroelectric infrared sensor swings backward and forward in the range of 0°-90°, which has a large detection area and high sensitivity. By collecting and analyzing the characteristics of the signal output from the dynamic pyroelectric infrared sensor, angle information of the target can be obtained. The target information can be accurately extracted by using frame difference method. Information fusion of multiple nodes can achieve localization and tracking of the moving target by using the sensor network target localization model. The method is an effective solution to the contradictions between distance and angle detected by pyroelectric infrared sensor. The experimental results demonstrate that the proposed method has feasibility in detection range, sensitivity and locating accuracy.
关 键 词:热释电红外辐射传感器 动态 传感器网络 目标定位
分 类 号:TP221[自动化与计算机技术—检测技术与自动化装置]
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