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UAVs use set-membership approach for RF source localization

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a set-membership approach (SMA) for localizing intermittent radio frequency (RF) sources using a fleet of collaborating Unmanned Aerial Vehicles (UAVs). This method evaluates set estimates of source locations and areas free of sources, specifically for RF transmitters with unknown but bounded emission periods. Simulations indicate that SMA surpasses a Bayesian baseline in both localization accuracy and convergence speed. AI

IMPACT This research could lead to more efficient and accurate tracking systems for various applications, including surveillance and navigation.

RANK_REASON Academic paper detailing a new methodology for RF source localization. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.MA (Multiagent) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

UAVs use set-membership approach for RF source localization

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Academic paper detailing a new methodology for RF source localization. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Michel Kieffer ·

    Set-membership localization of intermittent RF sources using a fleet of collaborating UAVs

    This paper proposes a set-membership approach (SMA) to localize radio frequency (RF) sources observed by a collaborating fleet of Unmanned Aerial Vehicles (UAVs). Considering frequency-separable RF transmitters with intermittent and periodic emission patterns, %and unknown but bo…

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