Infrared Search and Track (IRST) system is one of the most typical airborne sensors for the remote target measurement, detection and tracking in the fighter planes. And the modeling of the measurement error is the basis of target recognition and tracking. For the purpose, this paper describes the important components of IRST system and their influence upon the measurement accuracy. After error propagation and conversion are considered, the total measurement error of IRST system can be obtained and compared with the calculations based on normal distribution model of the measurement error. Then a novel and more practical mathematical model of the measurement error is formed and the main parameters are defined. Finally data simulation is implemented, and the results demonstrate the new mathematical model of the measurement error is more effective.


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    Title :

    New model of measurement error in infrared search and track (IRST) systems


    Contributors:
    Hu, Leili (author) / Ding, Xiancheng (author) / Zou, Shenghuai (author) / Yang Yi (author) / Chen, Yuqing (author)


    Publication date :

    2000


    Size :

    5 Seiten, 5 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English






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