Problem
Research questions and friction points this paper is trying to address.
set-membership localization
intermittent RF sources
collaborating UAVs
Set-membership localization of intermittent RF sources using a fleet of collaborating UAVs
🤖 AI Summary
本文提出了一种集合成员方法，利用无人机群协作定位间歇性RF信号源，该方法在定位精度和收敛速度上优于贝叶斯基线方法。
📝 Abstract
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 bounded periods the SMA evaluates set estimates of the source locations and a set free of sources. Simulation results show that SMA outperforms a Bayesian baseline approach in terms of localization accuracy and convergence speed.
Innovation
Methods, ideas, or system contributions that make the work stand out.
set-membership approach
collaborating UAVs
intermittent RF sources
localization accuracy
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