Abstract This paper focuses on the application of UAVs (unmanned aerial vehicles) on the information battlefield, and an intention prediction method for air targets is studied. Four factors of the enemy UAVs including velocity, angle, offense, and detection are analyzed and predicted by Grey Markov chain. Then, by combining the predicted factors with the rules provided by rough set, the enemy UAVs’ intention in the following short time can be deduced. The prediction method is studied utilizing incomplete information, and the feasibility of the developed prediction method is proved by the simulation results.


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    Title :

    Prediction of Air Target Intention Utilizing Incomplete Information


    Contributors:
    Xia, Pengcheng (author) / Chen, Mou (author) / Zou, Jie (author) / Feng, Xing (author)


    Publication date :

    2016-01-01


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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