Impact of Frequency on Diffraction-Aided Wireless Positioning
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arXiv
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| Format: | Preprint |
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2025
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| author | Duggal, Gaurav Kumar, Anand M. Buehrer, R. Michael Dhillon, Harpreet S. Tripathi, Nishith Reed, Jeffrey H. |
| author_facet | Duggal, Gaurav Kumar, Anand M. Buehrer, R. Michael Dhillon, Harpreet S. Tripathi, Nishith Reed, Jeffrey H. |
| contents | This paper tackles the challenge of accurate positioning in Non-Line-of-Sight (NLoS) environments, with a focus on indoor public safety scenarios where NLoS bias severely impacts localization performance. We explore Diffraction MultiPath Components (MPC) as a critical mechanism for Outdoor-to-Indoor (O2I) signal propagation and its role in positioning. The proposed system comprises outdoor Uncrewed Aerial Vehicle (UAV) transmitters and indoor receivers that require localization. To facilitate diffraction-based positioning, we develop a method to isolate diffraction MPCs at indoor receivers and validate its effectiveness using a ray-tracing-generated dataset, which we have made publicly available. Our evaluation across the FR1, FR2, and FR3 frequency bands within the 5G/6G spectrum confirms the viability of diffraction-based positioning techniques for next-generation wireless networks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_11993 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Impact of Frequency on Diffraction-Aided Wireless Positioning Duggal, Gaurav Kumar, Anand M. Buehrer, R. Michael Dhillon, Harpreet S. Tripathi, Nishith Reed, Jeffrey H. Signal Processing This paper tackles the challenge of accurate positioning in Non-Line-of-Sight (NLoS) environments, with a focus on indoor public safety scenarios where NLoS bias severely impacts localization performance. We explore Diffraction MultiPath Components (MPC) as a critical mechanism for Outdoor-to-Indoor (O2I) signal propagation and its role in positioning. The proposed system comprises outdoor Uncrewed Aerial Vehicle (UAV) transmitters and indoor receivers that require localization. To facilitate diffraction-based positioning, we develop a method to isolate diffraction MPCs at indoor receivers and validate its effectiveness using a ray-tracing-generated dataset, which we have made publicly available. Our evaluation across the FR1, FR2, and FR3 frequency bands within the 5G/6G spectrum confirms the viability of diffraction-based positioning techniques for next-generation wireless networks. |
| title | Impact of Frequency on Diffraction-Aided Wireless Positioning |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2503.11993 |