A Caltech Library Service

Enabling a Larger Deep Space Mission Suite: A Deep Space Network Queuing Antenna for Demand Access

Sanchez Net, Marc and Wyatt, Jay and Castano, Rebecca and Townes, Stephen A. and Lazio, T. Joseph W. and Malphrus, Benjamin K. and Kruth, Jeffrey A. and Hart, Chloe and Mattle, Emily (2022) Enabling a Larger Deep Space Mission Suite: A Deep Space Network Queuing Antenna for Demand Access. In: 2022 IEEE Aerospace Conference (AERO). IEEE , Piscataway, NJ, pp. 1-13. ISBN 978-1-6654-3760-8.

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item:


The advent of deep space small spacecraft, as exemplified by the Mars Cubesat One (MarCO), Lunar Trailblazer, Janus, the Escape and Plasma Acceleration and Dynamics Explorers (EscaPADE), and the thirteen Artemis 1 missions, opens the possibility that a much larger number of deep space space-craft may be launched over the next 10 years and beyond. While scientifically exciting, the prospect of a (much) larger mission suite raises significant challenges for the current approach to ground stations and mission operations. We have been investigating an integrated approach for ground stations and missions operations to enable new modes of operation while maintaining the capabilities of the current operational techniques. This integrated approach is built around three core capabilities: (1) A queuing antenna that enables monitoring the status of a much larger number of spacecraft, and allows spacecraft to transmit requests for telemetry with NASA's Deep Space Network (DSN); (2) a flexible scheduling system that expands the current DSN scheduling services to enable allocating time on DSN antennas in near realtime; and (3) a cloud-based ground data system that can be spun up and down according to how tracks are assigned by the flexible scheduling system. We shall show that an 18 meter DSN queuing antenna equipped with cyrogenic receivers would enable use of the DSN Demand Access Service for small spacecraft throughout the inner Solar System, thus providing service to a large mission suite. We first discuss the architecture of the queuing antenna and its supporting systems, including, for instance, the service required to generate the schedule for the queueing antenna (which dictates how it slews to monitor multiple spacecraft in a day of operations). Next, we describe the signaling scheme used to encode a request, which is inherited from the already operational DSN Beacon Tone Service, and describe two alternative ways to detect the incoming tone at the ground station, one based on maximum likelihood estimation (MLE), and another one based on Fast-Fourier Transfer (FFT) processing. We then use these results to estimate the maximum range at which a request can be reliably detected as a function of the spacecraft and ground station communication capabilities. Finally, the last part of this part of this paper briefly describes the prototyping effort undertaken at Morehead State University (MSU) and JPL to demonstrate the viability of this new DSN demand access. In particular, we describe the suite of tests conducted using MSU's 21 meter ground station to validate its use a queuing antenna.

Item Type:Book Section
Related URLs:
URLURL TypeDescription
Lazio, T. Joseph W.0000-0002-3873-5497
Additional Information:© 2022 IEEE. We acknowledge Mark Johnston and Costin Radulescu, from the Jet Propulsion Laboratory, for their contributions to this work. The research was partially carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a conract with the National Aeronautics and Space Administration (80NM0018D0004).
Funding AgencyGrant Number
Record Number:CaltechAUTHORS:20220811-935489000
Persistent URL:
Official Citation:M. S. Net et al., "Enabling a Larger Deep Space Mission Suite: A Deep Space Network Queuing Antenna for Demand Access," 2022 IEEE Aerospace Conference (AERO), 2022, pp. 1-13, doi: 10.1109/AERO53065.2022.9843635.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:116243
Deposited By: George Porter
Deposited On:15 Aug 2022 22:35
Last Modified:15 Aug 2022 22:35

Repository Staff Only: item control page