English(EN) Spatially Distributed Task-Oriented Compression for Multi-Emitter Localization and Characterization with Spectral Overlap

新的压缩框架有助于识别无线电发射机

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-02 04:00

研究人员开发了一个新的分布式压缩框架，有助于识别和表征射频发射机。该方法使用空间分布的接收器，每个接收器将观测值编码为紧凑的潜在向量。然后，中央解码器融合这些向量来估计发射机的定位、带宽和波形家族，证明高度压缩的表示对于发射机计数和波形估计仍然有用。 AI

排序理由这是一篇发表在arXiv上的研究论文，详细介绍了一个新的技术框架。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · H. Nazim Bicer, J. Nick Laneman · 2026-06-02 04:00

面向多发射源定位与表征的具有频谱重叠的空间分布式任务导向压缩

arXiv:2606.01446v1 Announce Type: cross Abstract: Radio frequency spectrum awareness requires the ability to detect, localize, and characterize emitters in dense and contested wireless environments. In this work, we propose a task-oriented distributed compression framework for jo…