A hamming distance and spearman correlation based star identification algorithm

This paper presents a novel star identification algorithm for a 'lost-in-space' mode star tracker. The Spearman-correlation approach provides reliable recognition even when the captured images are swayed and biased from the onboard star pattern database. The hamming distance approach provi...

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Main Authors: Samirbhai, Mehta Deval, Chen, Shoushun, Low, Kay Soon
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2019
Subjects:
Online Access:https://hdl.handle.net/10356/85896
http://hdl.handle.net/10220/48288
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author Samirbhai, Mehta Deval
Chen, Shoushun
Low, Kay Soon
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Samirbhai, Mehta Deval
Chen, Shoushun
Low, Kay Soon
author_sort Samirbhai, Mehta Deval
collection NTU
description This paper presents a novel star identification algorithm for a 'lost-in-space' mode star tracker. The Spearman-correlation approach provides reliable recognition even when the captured images are swayed and biased from the onboard star pattern database. The hamming distance approach provides a shortlisted list of star IDs. Thus, the proposed combination of hamming distance and Spearman correlation provides a reliable and fast recognition. The achievable performance is evaluated by testing on simulated and real images.
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spelling ntu-10356/858962020-03-07T13:57:29Z A hamming distance and spearman correlation based star identification algorithm Samirbhai, Mehta Deval Chen, Shoushun Low, Kay Soon School of Electrical and Electronic Engineering Star Identification Lost-In-Space (LIS) Mode DRNTU::Engineering::Electrical and electronic engineering This paper presents a novel star identification algorithm for a 'lost-in-space' mode star tracker. The Spearman-correlation approach provides reliable recognition even when the captured images are swayed and biased from the onboard star pattern database. The hamming distance approach provides a shortlisted list of star IDs. Thus, the proposed combination of hamming distance and Spearman correlation provides a reliable and fast recognition. The achievable performance is evaluated by testing on simulated and real images. Accepted version 2019-05-21T05:10:38Z 2019-12-06T16:12:13Z 2019-05-21T05:10:38Z 2019-12-06T16:12:13Z 2019 Journal Article Samirbhai, M. D., Chen, S., & Low, K. S. (2019).A hamming distance and spearman correlation based star identification algorithm. IEEE Transactions on Aerospace and Electronic Systems, 55(1), 17-30. doi:10.1109/TAES.2018.2845198. 0018-9251 https://hdl.handle.net/10356/85896 http://hdl.handle.net/10220/48288 10.1109/TAES.2018.2845198 en IEEE Transactions on Aerospace and Electronic Systems © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TAES.2018.2845198. 13 p. application/pdf
spellingShingle Star Identification
Lost-In-Space (LIS) Mode
DRNTU::Engineering::Electrical and electronic engineering
Samirbhai, Mehta Deval
Chen, Shoushun
Low, Kay Soon
A hamming distance and spearman correlation based star identification algorithm
title A hamming distance and spearman correlation based star identification algorithm
title_full A hamming distance and spearman correlation based star identification algorithm
title_fullStr A hamming distance and spearman correlation based star identification algorithm
title_full_unstemmed A hamming distance and spearman correlation based star identification algorithm
title_short A hamming distance and spearman correlation based star identification algorithm
title_sort hamming distance and spearman correlation based star identification algorithm
topic Star Identification
Lost-In-Space (LIS) Mode
DRNTU::Engineering::Electrical and electronic engineering
url https://hdl.handle.net/10356/85896
http://hdl.handle.net/10220/48288
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