此页面上的内容需要较新版本的 Adobe Flash Player。

获取 Adobe Flash Player

Minimum sensing cell measurement in network domain based on PIR sensor array

KANG Xin-chen1, YANG Wei1, CAO Zhi-bin1, LU Yun2, DENG Li-qi1


(1. School of Instrument and Electronics, North University of China, Taiyuan 030051, China;  2. Electronic Equipment Research Institute of Sichuan Aerospace, Chengdu 610000, China)

 

Abstract: To reasearch on the infrared target perception by pyroelectric infrared (PIR) sensor in network domain measurement, a closed sensing network domain composed of eight-PIR-sensor array is proposed for the minimum sensing cell measurement in network domain and to realize the moving target perception and trajectory prediction. Moreover, the feasibility and accuracy of the proposed method are verified through experiments. The experimental results demonstrate that the maximum error between the real trajectory and the predicted trajectory of the minimum sensing cell measurement method is 0.64 m, which can achieve infrared target perception and moving trajectory prediction.
Key words: pyroelectric infrared (PIR) sensor; minimum sensing cell; trajectory prediction

CLD number: TP24           Document code: A
Article ID: 1674-8042(2019)01-0016-05    doi: 10.3969/j.issn.1674-8042.2019.01.003

References
[1] Wu J, Xu X, Lian C Q, et al. A survey of recent advances in cooperative multi-robot systems. CAAI Transactions on Intelligent Systems, 2011, 6(1): 14-27.
[2] Wang X, Zhou S W, Zeng Z F, et al. Micro swarm robot outdoor localization system and approach. Computer Engineering and Applications, 2015, 51(15): 261-265.
[3] Xue S D, Zeng J C. Swarm robot:  a survey. Pattern Recognition and Artificial Intelligence, 2008, 21(2): 177-183.
[4] Liu Q J, Yang W, Zhao D. Multi-PIR regional target localization method under dynamic scanning. Science Technology and Engineering, 2014, 14(23): 205-208.
[5] Pei L, Liu D H, Qian J C. A survey of indoor positioning technology and application. Navigation Position & Timing, 2017, 4(3): 1-10.
[6] Yin M X, Hou Y, Ji H. Research on data association method in multi-sensor passive location of formation targets. Navigation Position & Timing, 2016, 3(6): 12-16.
[7] Lu Y, Yang W, Zhao J J, et al. Technology of forecasting target trajectory and location with PIR single node array. Infrared and Laser Engineering, 2016, 45(10): 260-265.
[8] Li B Y, Li F M, Liu X H, et al. Design and implementation of single target tracking system based on PIR sensor. Chinese Journal of Sensors and Actuators, 2014, 27(9): 1214-1220.
[9] Xu W, Yang W. Research on detection method of infrared sensor array. Transducer and Microsystem Technologies, 2009, 28(9): 16-19.
[10] Xian H. Design and optimization of wave-front sensor of adaptive optical system. Chendu: Univeristy of Electronic Science and Technoogy of China, 2008.
[11] Sun Q, Yang W, Zhang W D, et al. Research on target tracking based in dynamic pyroelectric infrared sensor network. Journal of Optoelectronics Laser, 2013, 24(12): 2399-2403.
[12] Wang Z B, Yang W, Qin L. Target tracking based on particle swarm optimization using dynamic pyroelectric infrared sensor. Acta Optica Sinica, 2014, 34(10): 35-41.
[13] Zhao D, Yang W, Liu Q J. Structure design of a small dynamic/static double coordinate perceptual system. Transducer and Microsystem Technologies, 2014, 33(6): 97-101.
[14] Hou S, Yang W, Liu Q J. Target localization method with dynamic and static combination of PIR. Journal of Optoelectronics Laser, 2015, 26(2): 315-319.

 

基于PIR传感器阵列的网域最小感知单元测量技术


康新晨1, 杨  卫1, 曹志斌1, 卢  云2, 邓立齐1


(1. 中北大学 仪器与电子学院, 山西 太原 030051; 2. 四川航天电子设备研究所, 四川 成都 610000)

 

摘  要:   为研究红外热释电(Pyroelectric infrared, PIR)传感器在网域测量中对红外目标感知问题, 提出利用8路红外热释电传感器阵列组成封闭的感知网域, 探究网域最小感知单元测量方法, 完成对运动目标的感知和轨迹预测, 并设计实验验证该测量方法的可行性和准确性。 实验结果表明, 网域最小感知单元测量方法的预测轨迹和真实轨迹间的最大误差为0.64 m, 可以完成红外目标感知及运动轨迹预测。

 
关键词:   红外热释电传感器; 最小感知单元; 轨迹预测

 

引用格式:  KANG Xin-chen, YANG Wei, CAO Zhi-bin, et al. Minimum sensing cell measurement in network domain based on PIR sensor array. Journal of Measurement Science and Instrumentation, 2019, 10(1): 16-20. [doi: 10.3969/j.issn.1674-8042.2019.01.003]

 

[full text view]