Research on Target Recognition and Tracking Based on Data Fusion
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DOI: 10.25236/dpaic.2018.039
Author(s)
Huanhuan Liu, Feng Wang, Hua Tian, Mingjun Li, Zuobing Wang
Corresponding Author
Huanhuan Liu
Abstract
Based on the limitations of single-sensor (radar or infrared) systems, a target recognition and tracking system based on multi-sensor (radar and infrared) signal fusion is proposed, which can utilize data complementarity and redundancy of different sensors. Feature layer fusion can be utilized the target characteristic signals provided by other sensor modules improve the target detection probability and reduce the false alarm probability; the decision layer fusion can correct the servo tracking loop of the sensor module that loses the target tracking ability due to interference and the like, and improve the anti-interference.
Keywords
Target Recognition, Tracking Method, Data Fusion