Skip to main content
CenXiv.org
This website is in trial operation, support us!
We gratefully acknowledge support from all contributors.
Contribute
Donate
cenxiv logo > eess > arXiv:2510.03626

Help | Advanced Search

Electrical Engineering and Systems Science > Signal Processing

arXiv:2510.03626 (eess)
[Submitted on 4 Oct 2025 ]

Title: On-Grid Equivalence of Continuous-Time Doubly Selective Channels: A Revisit of Bello's Models

Title: 连续时间双选择信道的网格等价性:对贝洛模型的再审视

Authors:Jun Tong
Abstract: Significant studies on communications over doubly selective channels have utilized on-grid DD channel models, which are previously investigated in Bello's seminar paper in 1963. The DD grid is typically specified by the bandwidth and time duration of the transmission frames. However, the physical channels are determined by the propagation environments and they are typically off-grid. Hence, there is often a gap between an actual physical channel and the on-grid model. This paper revisits the on-grid modeling of practical physical channels. We study the associated on-grid DD-domain representations for continuous-time, doubly selective channels with off-grid delay and Doppler shifts, accounting for practical time/frequency-domain windowing at the transceivers. The universal models obtained are applicable under the mild assumption that the windows have finite supports, and they extend Bello's classical results to account for more general windows. We also discuss the features and implications of the equivalent on-grid models.
Abstract: 对双选择信道通信的重要研究已经利用了基于网格的DD信道模型,这些模型之前在Bello 1963年的研讨会论文中进行了研究。 DD网格通常由传输帧的带宽和时间持续时间指定。 然而,物理信道由传播环境决定,它们通常是非网格的。 因此,实际物理信道和基于网格的模型之间通常存在差距。 本文重新研究了实际物理信道的基于网格建模。 我们研究了连续时间双选择信道在非网格延迟和多普勒偏移下的相关基于网格DD域表示,考虑了收发器处的实际时域/频域加窗。 获得的通用模型在窗口具有有限支持的温和假设下适用,并且它们扩展了Bello的经典结果以考虑更一般的窗口。 我们还讨论了等效基于网格模型的特征和含义。
Comments: This paper was presented at 2025 IEEE International Conference on Communications Workshops (ICC Workshops)
Subjects: Signal Processing (eess.SP)
Cite as: arXiv:2510.03626 [eess.SP]
  (or arXiv:2510.03626v1 [eess.SP] for this version)
  https://doi.org/10.48550/arXiv.2510.03626
arXiv-issued DOI via DataCite

Submission history

From: Jun Tong [view email]
[v1] Sat, 4 Oct 2025 02:20:29 UTC (751 KB)
Full-text links:

Access Paper:

    View a PDF of the paper titled
  • View Chinese PDF
  • View PDF
  • HTML (experimental)
  • TeX Source
license icon view license
Current browse context:
eess.SP
< prev   |   next >
new | recent | 2025-10
Change to browse by:
eess

References & Citations

  • NASA ADS
  • Google Scholar
  • Semantic Scholar
a export BibTeX citation Loading...

BibTeX formatted citation

×
Data provided by:

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)
IArxiv Recommender (What is IArxiv?)
  • Author
  • Venue
  • Institution
  • Topic

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
  • About
  • Help
  • contact arXivClick here to contact arXiv Contact
  • subscribe to arXiv mailingsClick here to subscribe Subscribe
  • Copyright
  • Privacy Policy
  • Web Accessibility Assistance
  • arXiv Operational Status
    Get status notifications via email or slack

京ICP备2025123034号