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You May Use the Same Channel Knowledge Map for Environment-Aware NLoS Sensing and Communication

Wu, Di et al. · 2025 · arxiv_oai
arXiv (OAI) · Papers · 2025
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information-theorysignal-processing
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[2507.03589] You May Use the Same Channel Knowledge Map for Environment-Aware NLoS Sensing and Communication Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Computer Science > Information Theory arXiv:2507.03589 (cs) [Submitted on 4 Jul 2025 ( v1 ), last revised 9 Apr 2026 (this version, v4)] Title: You May Use the Same Channel Knowledge Map for Environment-Aware NLoS Sensing and Communication Authors: Di Wu , Zhuoyin Dai , Yong Zeng View a PDF of the paper titled You May Use the Same Channel Knowledge Map for Environment-Aware NLoS Sensing and Communication, by Di Wu and 2 other authors View PDF HTML (experimental) Abstract: As one of the key usage scenarios for the sixth generation (6G) wireless networks, integrated sensing and communication (ISAC) provides an efficient framework to achieve simultaneous wireless sensing and communication. However, traditional wireless sensing techniques mainly rely on the line-of-sight (LoS) assumptions, i.e., the sensing targets are directly visible to both the sensing transmitter and receiver. This hinders ISAC systems to be applied in complex environments such as the urban low-altitude airspace, which usually suffers from signal blockage and non-line-of-sight (NLoS) multi-path propagation. To address this challenge, in this paper, we propose a novel approach to enable environment-aware NLoS ISAC by leveraging the new technique called channel knowledge map (CKM), which was originally proposed for environment-aware wireless communications. One major novelty of our proposed method is that the same CKM built for wireless communication can be directly used to enable NLoS wireless sensing, thus enjoying the benefits of ``killing two birds with one stone''. To this end, the sensing targets are treated as virtual user equipment (UE), and the wireless communication channel priors are transformed into the sensing channel priors, allowing one single CKM to serve dual purposes. We illustrate our proposed framework by a specific CKM called \emph{channel angle-delay map} (CADM). Specifically, the proposed framework utilizes CADM to derive angle-delay priors of the sensing channel by exploiting the relationship between communication and sensing angle-delay distributions, enabling sensing target localization in the challenging NLoS environment. Extensive simulation results demonstrate significant performance improvements over classic geometry-based sensing methods, which is further validated by Cramér-Rao Lower Bound (CRLB) analysis. Subjects: Information Theory (cs.IT) ; Signal Processing (eess.SP) Cite as: arXiv:2507.03589 [cs.IT] (or arXiv:2507.03589v4 [cs.IT] for this version) https://doi.org/10.48550/arXiv.2507.03589 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Di Wu [ view email ] [v1] Fri, 4 Jul 2025 13:57:13 UTC (513 KB) [v2] Thu, 22 Jan 2026 04:33:55 UTC (488 KB) [v3] Tue, 17 Mar 2026 15:01:58 UTC (500 KB) [v4] Thu, 9 Apr 2026 08:18:57 UTC (6,667 KB) Full-text links: Access Paper: View a PDF of the paper titled You May Use the Same Channel Knowledge Map for Environment-Aware NLoS Sensing and Communication, by Di Wu and 2 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.IT < prev | next > new | recent | 2025-07 Change to browse by: cs eess eess.SP math math.IT References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... 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