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At least 73 records · Page 4

Radiometric orbit determination activities in support of navigating Deep Space 1 to Comet Borrelly

After several months of planning, development and testing, new software was uploaded that allowed Deep Space 1 to restore celestial inertia reference and begin thrusting towards an encounter with comet Borrelly. The new mission plan would have to work within the constraints of the new software as well as minimize use of the dwindling supply of hydrazine, the fuel needed to maintain the spacecraft attitude.

DS1↗

Radiometric tracking for deep space navigation

Metric information derived from radio communication links between Earth and spacecraft are used for navigation of interplanetary probes. This paper summarizes radiometric techniques and their error budgets.

Shin, Dong K.↗

Deep Space Navigation for the BioSentinel CubeSat Science Orbit

BioSentinel is a 6U CubeSat active in heliocentric orbit, as of April 2024. The spacecraft was launched aboard the first SLS flight as part of the Artemis-I campaign in November 2022. After successful separation from the upper stage of SLS, it performed a lunar flyby which provided the necessary energy to achieve an Earth-trailing heliocentric orbit. This paper includes a description of the final science orbit as well as its evolution, the techniques and procedures utilized to perform the orbit determination and a description of the overall navigation campaign, with emphasis on the heliocentric orbit operations.

Jose Alvarellos↗

The Deep Space Network. An instrument for radio navigation of deep space probes

The Deep Space Network (DSN) network configurations used to generate the navigation observables and the basic process of deep space spacecraft navigation, from data generation through flight path determination and correction are described. Special emphasis is placed on the DSN Systems which generate the navigation data: the DSN Tracking and VLBI Systems. In addition, auxiliary navigational support functions are described.

Renzetti, N. A.↗

Autonomous Navigation for Deep Space Missions

Navigation (determining where the spacecraft is at any given time, controlling its path to achieve desired targets), performed using ground-in- the-loop techniques: (1) Data includes 2-way radiometric (Doppler, range), interferometric (Delta- Differential One-way Range), and optical (images of natural bodies taken by onboard camera) (2) Data received on the ground, processed to determine orbit, commands sent to execute maneuvers to control orbit. A self-contained, onboard, autonomous navigation system can: (1) Eliminate delays due to round-trip light time (2) Eliminate the human factors in ground-based processing (3) Reduce turnaround time from navigation update to minutes, down to seconds (4) React to late-breaking data. At JPL, we have developed the framework and computational elements of an autonomous navigation system, called AutoNav. It was originally developed as one of the technologies for the Deep Space 1 mission, launched in 1998; subsequently used on three other spacecraft, for four different missions. The primary use has been on comet missions to track comets during flybys, and impact one comet.

navigation↗

Autonomous Optical-only Navigation for Deep Space Missions

Navigation of spacecraft for interplanetary missions is typically performed on the ground using a two-way radio link to obtain the necessary tracking data. Due to the limited number of antenna capable of tracking these spacecraft, it would be advantageous to have a navigation capability that is entirely self-contained onboard a spacecraft. A camera mounted on a spacecraft is theoretically capable of enabling self-navigating spacecraft, and has been demonstrated in limited circumstances in past missions. Fundamentally, the technique involves using various natural or artificial targets as observational beacons to determine the observers position in space. In this paper, the technique of optical-only navigation is described, including discussions of what types of observations are used, and results of analysis showing the accuracies achievable for various mission types across the Solar System is discussed.

Bhaskaran, Shyam↗