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一种可靠的人体入侵探测系统设计 被引量:3

Design of a reliable human invasion detecting system
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摘要 针对目前人们对安防报警产品需求日益增加,安防产品也相继出现,但其前端探测设备大都有各自的弊端,研究了一种可靠的人体入侵探测系统,很好地解决了传统探测器误报、漏报、防破解、隐蔽性差等一系列问题。系统是基于生物体自身特有电场会对已存在的稳定电场产生干扰这一特性,通过施密特触发器和功率放大电路产生稳定的电场,一旦人体接近此电场,系统立刻接收到入侵信号,经过对入侵信号的调理放大,正交信号检测,特征信号的提取,并结合智能化算法,最终产生有效的、可靠的报警信号。经拷机测试证明:系统具有抗干扰强、超低误报率、无漏报现象存在以及无法破解等优良性能,非常适用于安防报警系统的前端探测设备上。 There are many security products appear in succession, aiming at current increasing demand of security alarming products, however, most of the front-end detecting equipment has its own disadvantages, a reliable human invasion detecting system is studied, which can solve a series of problems such as misinformation rate, cracking and worse concealment. This system is based on the characteristic that an organism has its own electric fields which will interfere with stable electric fields that already exists, stable electric fields is generated by Schmitt- toggle and power amplifier circuit, once human gets close to the electric fields, system receives invasion signal immediately. After conditioning and amplifier the invasion signal, orthogonal signal detection, feature signal extraction, combined with intelligent algorithms, at last valid and reliable alarming signal is generated. Through test, the system is proved to have good performance such as strong anti-interference, ultra low false alarm rate, non- omission exist and unable to crack, and so on, which is well applied for front-end detecting of security alarm system.
出处 《传感器与微系统》 CSCD 北大核心 2013年第3期110-112,116,共4页 Transducer and Microsystem Technologies
基金 国家自然科学基金资助项目(61202044) 中国物理工程院总体工程研究所创新与发展基金资助项目(11CXJ05) 四川省科技创新苗子工程资助项目(12ZD3106)
关键词 入侵探测 安防报警系统 电场干扰 正交信号检测 invasion detection security and alarm systems electric field interfering orthogonal signal detection
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  • 1王为之,靳东明.一种采用共栅频率补偿的轨到轨输入/输出放大器[J].Journal of Semiconductors,2006,27(11):2025-2028. 被引量:6
  • 2王远 成立.模拟电子技术[M].北京:机械工业出版社,2000..
  • 3武秀玲.高频电子线路[M].西安:西安电子科技大学出版社,1999..
  • 4曾兴雯.高频电路原理与分析[M].西安:西安电子科技大学出版社,2002..
  • 5阎石主编.数字电子技术基础(第五版)[M].北京:高等教育出版社,2007.11.
  • 6肖景和编著.数字基层电路应用精粹[M].北京:人民邮电出版社,2003.11.
  • 7RYU J-W, KANG E-G, PARK H-S, et al. A design of AM-OLED source driver with reduced programming time for a large scale display panel [C] // IEEE Conf Elec Dev and Sol Sta Circ. Hong Kong, China. 2005: 475-477.
  • 8KUDO Y. New developments in drivers for mobile AM-LCDs [C]//Dig of Tech Pap SID Int Symp. San Francisco, CA, USA. 2006: 1402-1405.
  • 9DASGUPTA U. Issues in Ahuja frequency compensation technique [C]//IEEE Int Syrup Radio-Frequency Integr Tech. Singapore. 2009: 326-329.
  • 10TETSURO I, HIRONORI M, TESTUYA S, et al. A 402-output TFT-LCD driver IC with power control based on the number of colors selected [J]. IEEE J Sol Sta Circ, 2003, 38(3): 503-510.

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  • 1LIU Zhi - qin, JIANG Xiu - feng, WANG Hal - hao, et al. An On - line Monitor System on Off - Gases of Vehi- cles with WSN' s Design Based on Zigbee Technology [ CI. The 8th IEEE International Conference on Depend- able, Autonomic and Secure Computing, Los Alamitos: Computer Society Press ,2009.
  • 2锋硕电子科技有限公司.ZigBee2007视频教程-应用开发指导[EB/OL].http://wenku.baidu.corn/view/f46b9eOf4a7302768e99399b.html.2011-02-10.
  • 3LIU Zhi - qin, LIU Yong, GONG Xi -yan, et al. A Mo- nitoring and Warning System for Brae Debris Flow with Multi - sensor Network : C ]. The 25th Chinese Control and Decision Conference (2011 CCDC). 2011.05. EI.
  • 4Priyantha N B, Chakraborty A, Balakrishnan H. The cricket loca- tion-support system[ C]//Proceedings of the 6th Annual Interna- tional Conference on Mobile Computing and Networking, ACM, 2000:32 -43.
  • 5Want R, Hopper A, Faleo V,et al. The active badge location sys- tem [ J ]. ACM Transactions on Information Systems ( TOIS ) , 1992,10 ( 1 ) :91 -102.
  • 6Matern D, Condurache A, Mertins A. Automated intrusion detec- tion for video surveillance using conditional random fields [ C ]// International Conference on Machine Vision Application, 2013: 298 -301.
  • 7Youssef M, Mah M, Agrawala A. Chalenges : Devsice-free passive localization for wireless environments [ C] ff Proceedings of the 13th Annual ACM International Conference on Mobile Computing and Networking,ACM ,2007:222 -229.
  • 8Yang Jie, Ge Yong, Xiong Hui. Performing joint learning for pa- ssive intrusion detection in pervasive wireless environments [ C 1// Proceedings of IEEE Infocom 2010,San Diego,2010:1 -9.
  • 9Wilson J, Patwari N. Through-wall motion tracking using variance- based radio tomography networks [ J]. IEEE Transactions on Mo- bile Computing ,2011,10 (5) :612 -621.
  • 10Xu C, Firner B, Zhang Y, et al. Improving RF-based device-free passive localization in cluttered indoor environments through pro- babilistic classification methods [ C ]ff Proceedings of the 11th In- ternational Conference on Information Processing in Sensor Net- works ,2012:209 -220.

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