[2505.20714] Wideband RF Radiance Field Modeling Using Frequency-embedded 3D Gaussian Splatting

[2505.20714] Wideband RF Radiance Field Modeling Using Frequency-embedded 3D Gaussian Splatting

arXiv - Machine Learning 4 min read

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Abstract page for arXiv paper 2505.20714: Wideband RF Radiance Field Modeling Using Frequency-embedded 3D Gaussian Splatting

Computer Science > Networking and Internet Architecture arXiv:2505.20714 (cs) This paper has been withdrawn by Lanqing Yang [Submitted on 27 May 2025 (v1), last revised 25 Mar 2026 (this version, v3)] Title:Wideband RF Radiance Field Modeling Using Frequency-embedded 3D Gaussian Splatting Authors:Zechen Li, Lanqing Yang, Yiheng Bian, Hao Pan, Yongjian Fu, Yezhou Wang, Zhuxi Chen, Yi-Chao Chen, Guangtao Xue View a PDF of the paper titled Wideband RF Radiance Field Modeling Using Frequency-embedded 3D Gaussian Splatting, by Zechen Li and 8 other authors No PDF available, click to view other formats Abstract:Indoor environments typically contain diverse RF signals distributed across multiple frequency bands, including NB-IoT, Wi-Fi, and millimeter-wave. Consequently, wideband RF modeling is essential for practical applications such as joint deployment of heterogeneous RF systems, cross-band communication, and distributed RF sensing. Although 3D Gaussian Splatting (3DGS) techniques effectively reconstruct RF radiance fields at a single frequency, they cannot model fields at arbitrary or unknown frequencies across a wide range. In this paper, we present a novel 3DGS algorithm for unified wideband RF radiance field modeling. RF wave propagation depends on signal frequency and the 3D spatial environment, including geometry and material electromagnetic (EM) properties. To address these factors, we introduce a frequency-embedded EM feature network that utilizes 3D Gaussian spheres ...

Originally published on March 26, 2026. Curated by AI News.

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