English

ODS: A self-reporting system for radio telescopes to coexist with adaptive satellite constellations

Instrumentation and Methods for Astrophysics 2025-08-04 v3 Astrophysics of Galaxies

Abstract

Low Earth orbit (LEO) satellite constellations bring broadband internet and cellular service to the most remote locations on the planet. Unfortunately, many of these locations also host some of the world's best optical and radio astronomy (RA) observatories. With the number of LEO satellites expected to increase by an order of magnitude in the upcoming decade, satellite downlink radio frequency interference (RFI) is a growing concern in protected radio-quiet areas like the United States National Radio Quiet Zone. When these satellites transmit in the spectrum near protected RA bands, undesired out-of-band emission can leak into these protected bands and impact scientific observations. In this paper, we present a self-reporting system - Operational Data Sharing (ODS) - which enables mutual awareness by publishing radio telescopes' operational information to a protected database that is available to satellite operators through a representational state transfer application programming interface (REST API). Satellite operators can use the ODS data to adapt their downlink tasking algorithms in real time to avoid overwhelming sensitive RA facilities, particularly, through the novel Telescope Boresight Avoidance (TBA) technique. Preliminary results from recent experiments between the NRAO and the SpaceX Starlink teams demonstrate the effectiveness of the ODS and TBA in reducing downlink RFI in the Karl G. Jansky Very Large Array's observations in the 1990-1995 MHz and 10.7-12.7 GHz bands. This automated ODS system is beginning to be implemented by other RA facilities and could be utilized by other satellite operators in the near future.

Keywords

Cite

@article{arxiv.2502.15068,
  title  = {ODS: A self-reporting system for radio telescopes to coexist with adaptive satellite constellations},
  author = {Bang D. Nhan and Christopher G. De Pree and Anthony Beasley and Mark Whitehead and Kevin Ryan and Daniel Faes and Thomas Chamberlin and Dawn Pattison and Victoria Catlett and Aaron Lawson and Daniel Bautista and Sheldon Wasik and Daniel Dueri and Matt Iverson and Jacob Donenfeld and Brian Schepis and David Goldstein},
  journal= {arXiv preprint arXiv:2502.15068},
  year   = {2025}
}

Comments

7 pages, 6 figures, preprint version. This work has been accepted for publication in the IEEE Communication Magazine on 25 Jul 2025