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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

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]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · H. Nazim Bicer, J. Nick Laneman ·

    Spatially Distributed Task-Oriented Compression for Multi-Emitter Localization and Characterization with Spectral Overlap

    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…