On the detection and tracking of space debris using the Murchison Widefield Array. I. Simulations and test observations demonstrate feasibility
S.J. Tingay, D.L. Kaplan, B. McKinley, F. Briggs, R.B. Wayth, N., Hurley-Walker, J. Kennewell, C. Smith, K. Zhang, W. Arcus, R. Bhat, D., Emrich, D. Herne, N. Kudryavtseva, M. Lynch, S.M. Ord, M. Waterson, D.G., Barnes, M. Bell, B.M. Gaensler, E. Lenc, G. Bernardi

TL;DR
This paper investigates using the Murchison Widefield Array as a passive radar system to detect and track space debris by reflecting FM signals, demonstrating feasibility through simulations and real observations.
Contribution
It introduces a novel method of space debris detection using the MWA as a passive radar in the FM band, supported by simulations and proof-of-concept observations.
Findings
Detection of sub-metre debris is feasible at ~1000 km altitude.
Simulations and observations validate the proposed passive radar approach.
The method enhances space situational awareness in the southern hemisphere.
Abstract
The Murchison Widefield Array (MWA) is a new low frequency interferomeric radio telescope. The MWA is the low frequency precursor to the Square Kilometre Array (SKA) and is the first of three SKA precursors to be operational, supporting a varied science mission ranging from the attempted detection of the Epoch of Reionisation to the monitoring of solar flares and space weather. We explore the possibility that the MWA can be used for the purposes of Space Situational Awareness (SSA). In particular we propose that the MWA can be used as an element of a passive radar facility operating in the frequency range 87.5 - 108 MHz (the commercial FM broadcast band). In this scenario the MWA can be considered the receiving element in a bi-static radar configuration, with FM broadcast stations serving as non-cooperative transmitters. The FM broadcasts propagate into space, are reflected off debris…
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Taxonomy
TopicsRadio Astronomy Observations and Technology · GNSS positioning and interference · Antenna Design and Optimization
