2018
DOI: 10.33012/2018.15544
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Development of the Stanford GNSS Navigation Testbed for Distributed Space Systems

Abstract: is a Ph.D. student in the Space Rendezvous Laboratory. He graduated from Bucknell University with a Bachelor of Science degree in mechanical engineering. His current research focuses on using GNSS technology for precise relative navigation of multiple small satellites. This includes development of algorithms for integer ambiguity resolution to accomplish this task in real-time, given the onboard constraints. His main research project is the Distributed multi-GNSS Timing and Localization system (DiGiTaL) under … Show more

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Cited by 23 publications
(13 citation statements)
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“…The mission is simulated using a high-fidelity orbit propagator that includes all significant perturbations in Earth orbit [52]. The models used for each of these perturbations are summarized in Table 6 [53,54].…”
Section: A Simulation Descriptionmentioning
confidence: 99%
“…The mission is simulated using a high-fidelity orbit propagator that includes all significant perturbations in Earth orbit [52]. The models used for each of these perturbations are summarized in Table 6 [53,54].…”
Section: A Simulation Descriptionmentioning
confidence: 99%
“…A key metric that is used to analyze the performance of the GNSS receiver is the noise of its raw measurements. This is quantified through a zero‐baseline test, which was performed on the NovAtel in the GRAND testbed at Stanford . The zero‐baseline test uses a GNSS signal simulator to run two identical tests with the same receiver.…”
Section: Project Overviewmentioning
confidence: 99%
“…The functionality and performance of DiGiTaL is evaluated at the Stanford GNSS and RF autonomous navigation testbed for DSS (GRAND) . This testbed was designed to evaluate each aspect of small‐satellite GNSS navigation systems in a hardware‐in‐the‐loop environment, including the receiver, intersatellite radios, and flight software.…”
Section: Verification and Evaluationmentioning
confidence: 99%
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“…The software architecture is then presented, where the navigation algorithms are detailed. The final section shows a hardware-in-the-loop (HIL) testcase in Stanford's GRAND testbed [25], where the DiGiTaL prototype is evaluated, demonstrating the ability to achieve centimeterlevel relative positioning solutions in a swarm of four nanosatellites.…”
Section: Introductionmentioning
confidence: 99%