A high-precision and high-order error model for airborne distributed POS transfer alignment

Abstract Distributed position and orientation systems (DPOSs) can provide abundant time-spatial information for interferometric synthetic aperture radar (InSAR) in airborne earth observation systems. However, some key error terms have not been taken into consideration in the traditional low-order er...

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Autores principales:	Bin Gu, Wen Ye, Zijie Teng, Hongmei Chen, Guochen Wang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d2fc006400354f2a94301f870f8ad8fb
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spelling	oai:doaj.org-article:d2fc006400354f2a94301f870f8ad8fb2021-12-02T15:10:31ZA high-precision and high-order error model for airborne distributed POS transfer alignment10.1038/s41598-020-77595-w2045-2322https://doaj.org/article/d2fc006400354f2a94301f870f8ad8fb2020-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-77595-whttps://doaj.org/toc/2045-2322Abstract Distributed position and orientation systems (DPOSs) can provide abundant time-spatial information for interferometric synthetic aperture radar (InSAR) in airborne earth observation systems. However, some key error terms have not been taken into consideration in the traditional low-order error model, which suppresses the performance of the slave POS and further cannot meet the compensation precision of InSAR. To improve the compensation precision, a precise high-order error model with 45 dimensions was derived. Not only does it take into account the influence of scale factor errors and installation errors of the gyro and accelerometer, but it also makes use of random constants and a first-order Markov process model to describe the gyro drift and accelerometer bias. In addition, the flexure angle and its angular rate were added to the state variables of the transfer alignment model. Based on the model, a measurement equation for attitude errors that considers flexure was deduced. Then, a transfer alignment model based on the matching algorithm including position-velocity-attitude was designed. Finally, the proposed model was validated by simulated and real tests, and the experimental results show that its performance is obviously better than that of the traditional model.Bin GuWen YeZijie TengHongmei ChenGuochen WangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Bin Gu Wen Ye Zijie Teng Hongmei Chen Guochen Wang A high-precision and high-order error model for airborne distributed POS transfer alignment
description	Abstract Distributed position and orientation systems (DPOSs) can provide abundant time-spatial information for interferometric synthetic aperture radar (InSAR) in airborne earth observation systems. However, some key error terms have not been taken into consideration in the traditional low-order error model, which suppresses the performance of the slave POS and further cannot meet the compensation precision of InSAR. To improve the compensation precision, a precise high-order error model with 45 dimensions was derived. Not only does it take into account the influence of scale factor errors and installation errors of the gyro and accelerometer, but it also makes use of random constants and a first-order Markov process model to describe the gyro drift and accelerometer bias. In addition, the flexure angle and its angular rate were added to the state variables of the transfer alignment model. Based on the model, a measurement equation for attitude errors that considers flexure was deduced. Then, a transfer alignment model based on the matching algorithm including position-velocity-attitude was designed. Finally, the proposed model was validated by simulated and real tests, and the experimental results show that its performance is obviously better than that of the traditional model.
format	article
author	Bin Gu Wen Ye Zijie Teng Hongmei Chen Guochen Wang
author_facet	Bin Gu Wen Ye Zijie Teng Hongmei Chen Guochen Wang
author_sort	Bin Gu
title	A high-precision and high-order error model for airborne distributed POS transfer alignment
title_short	A high-precision and high-order error model for airborne distributed POS transfer alignment
title_full	A high-precision and high-order error model for airborne distributed POS transfer alignment
title_fullStr	A high-precision and high-order error model for airborne distributed POS transfer alignment
title_full_unstemmed	A high-precision and high-order error model for airborne distributed POS transfer alignment
title_sort	high-precision and high-order error model for airborne distributed pos transfer alignment
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/d2fc006400354f2a94301f870f8ad8fb
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A high-precision and high-order error model for airborne distributed POS transfer alignment

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