張兢，路彥和
(重慶工學院電子信息與自動化學院，重慶 400050)
摘要：汽車防盜系統(tǒng)本身具有復雜性和多變性等特點，一般的汽車防盜裝置大多只使用單一的傳感器，單個傳感器不能為防盜的決策控制提供準確的依據(jù)。選擇多種傳感器建立的汽車防盜系統(tǒng)，運用多傳感器融合技術，采用模糊神經(jīng)網(wǎng)絡技術進行信息融合，對汽車被盜信息進行多方面地監(jiān)測，從而獲得較為可靠的信息，為準確地判斷汽車的狀態(tài)提供依據(jù)，具有較強的決策控制能力，達到了準確預警的目的。
關鍵詞：多傳感器；信息融合；模糊神經(jīng)網(wǎng)絡；防盜系統(tǒng)
中圖分類號：U472.9 文獻標識碼：A 文章編號：1672-4984(2006)02-0015-03
Research on the theft-protection system of automobiles based on multi-sensor fusion technology
ZHANG Jing，LU Yan-he
(School of Electronic Information and Automation,Chongqing Institute of Technology,Chongqing 400050，China)
Abstract: The theft-protection system of automobiles itself possesses the characteristics of complexity and variability. Generally, only one sensor is used in theftprotection system of automobiles. This can not provide enough information for the decision-making of theft protectionVarious sensors are chosen to establish the theftprotection system of automobiles and multi-sensor fusion technology is employed and fuzzy neural-network technology is used to fuse information. Therefore, the information on theft can be multi-dimensionally monitored and reliable information can be obtained so as to provide accurate information for the judgment of automobile conditions. The system possesses strong controlling capability to make decisions and the aim of accurate early warning is reached.
Key words: Multi-sensor; Information fusion; Fuzzy neural network; Theft-protection system
