| 基于多传感器的汽车防盗系统的数据融合技术 |
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| 引用本文： | 张兢,龙运书,赵玉霞,王小立.基于多传感器的汽车防盗系统的数据融合技术[J].重庆工学院学报,2007,21(23):16-19. |
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| 作者姓名： | 张兢 龙运书 赵玉霞 王小立 |
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| 作者单位： | 重庆工学院,重庆400050 |
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| 基金项目： | 重庆市教委基金资助项目（KJ070606）. |
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| 摘 要： | 基于汽车的常见被盗方式，介绍了用多传感器采集信号、信息融合技术处理信号的方法，分析了信息融合技术的基本算法，讲述了神经网络的自学习和自组织能力．通过分析可知：使用多传感器的汽车防盗系统具有高的准确性和可靠性，能起到及时、有效的预警和报警作用．
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| 关 键 词： | 防盗系统 多传感器 信息融合 神经网络 |
| 文章编号： | 1671-0924（2007）12-0016-04 |
| 收稿时间： | 2007-08-12 |
Multi-sensor-Based Data Fusion Technology for Automobile Burglar Alarm System |
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| ZHANG Jing, LONG Yun-shu, ZHAO Yu-xia,WANG Xiao-li.Multi-sensor-Based Data Fusion Technology for Automobile Burglar Alarm System[J].Journal of Chongqing Institute of Technology,2007,21(23):16-19. |
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| Authors: | ZHANG Jing LONG Yun-shu ZHAO Yu-xia WANG Xiao-li |
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| Abstract: | Based on the usual means of stealing an automobile, this paper mainly introduces the methods of signal acquisition based on multi sensors and signal processing with information fusion technology. Moreover, it analyses the fundamental algorithm of information fusion technology and discusses the self-study and organization ability of neural network. The analysis shows that the burglar alarm system of an automobile with multi sensors possesses high accuracy and reliability, and can play a timely and effective role in prealarming and alarming. |
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| Keywords: | burglar alarm system multi sensor information fusion neural network |
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