Abstract
In this work, an estimator is developed for the joint estimation of orientation and position from astrophysical signals of opportunity, particularly pulsars. The filter is based on a combination of vector-matching techniques for estimating attitude and time-difference of arrival navigation for estimating position. The filter functions by computing the probability of association for each arriving photon with each signal source of interest, and using the association probabilities to perform the measurement update. The probability of association of a photon with a signal source is derived, as well as the probability of association with background. The estimation techniques proposed are tested using Monte Carlo analysis techniques. The accuracy of the resulting estimates is compared to other pulsar navigation techniques. The results of the simulation studies indicate that the technique proposed here generally outperforms other time difference of arrival estimation techniques.
Original language | English (US) |
---|---|
Title of host publication | 68th International Astronautical Congress, IAC 2017 |
Subtitle of host publication | Unlocking Imagination, Fostering Innovation and Strengthening Security |
Publisher | International Astronautical Federation, IAF |
Pages | 4944-4958 |
Number of pages | 15 |
ISBN (Print) | 9781510855373 |
State | Published - 2017 |
Event | 68th International Astronautical Congress: Unlocking Imagination, Fostering Innovation and Strengthening Security, IAC 2017 - Adelaide, Australia Duration: Sep 25 2017 → Sep 29 2017 |
Publication series
Name | Proceedings of the International Astronautical Congress, IAC |
---|---|
Volume | 8 |
ISSN (Print) | 0074-1795 |
Other
Other | 68th International Astronautical Congress: Unlocking Imagination, Fostering Innovation and Strengthening Security, IAC 2017 |
---|---|
Country/Territory | Australia |
City | Adelaide |
Period | 9/25/17 → 9/29/17 |
Bibliographical note
Publisher Copyright:Copyright © 2017 by the International Astronautical Federation (IAF). All rights reserved.
Keywords
- Data association
- Opportunistic navigation