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    Cooperative search and localization of ground moving targets by a group of UAVs considering fuel constraint

    , Article Scientia Iranica ; Volume 26, Issue 5 B , 2019 , Pages 2784-2804 ; 10263098 (ISSN) Nobahari, H ; Effati, M ; Motie, M ; Sharif University of Technology
    Sharif University of Technology  2019
    Abstract
    A cooperative task allocation and search algorithm is proposed to find and localize a group of ground-based moving targets using a group of Unmanned Air Vehicles (UAVs) working in a decentralized manner. It is assumed that targets have RF emissions. By using an algorithm including Global Search (GS), Approach Target (AT), Locate Target (LT), and Target Reacquisition (TR) modes, UAVs cooperatively search the entire parts of a desired area, approach to the detected targets, locate the targets, and search again to find the targets that stop transmitting their RF emissions during the localization process, respectively. In the GS mode, UAVs utilize a cost function to select the best zone for... 

    Cooperative search and localization of ground moving targets by a group of UAVs considering fuel constraint

    , Article Scientia Iranica ; \Volume 26, Issue 5 B , 2019 , Pages 2784-2804 ; 10263098 (ISSN) Nobahari, H ; Effati, M ; Motie, M ; Sharif University of Technology
    Sharif University of Technology  2019
    Abstract
    A cooperative task allocation and search algorithm is proposed to find and localize a group of ground-based moving targets using a group of Unmanned Air Vehicles (UAVs) working in a decentralized manner. It is assumed that targets have RF emissions. By using an algorithm including Global Search (GS), Approach Target (AT), Locate Target (LT), and Target Reacquisition (TR) modes, UAVs cooperatively search the entire parts of a desired area, approach to the detected targets, locate the targets, and search again to find the targets that stop transmitting their RF emissions during the localization process, respectively. In the GS mode, UAVs utilize a cost function to select the best zone for...