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    Information-Theoretic Bayesian Inference for Multi-Agent Localization and Tracking of an Radio Frequency Target With Unknown Waveform 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2024:;volume( 146 ):;issue: 006:;page 61104-1
    Author(s): Olsen, Nathaniel R.; McKee, Sasha M.; Haddadin, Osama S.; Lyon, Scott M.; Campbell, Jared E.; Leang, Kam K.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Information-theoretic motion planning and machine learning through Bayesian inference are exploited to localize and track a dynamic radio frequency (RF) emitter with unknown waveform (uncooperative target). A target-state ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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