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An Accurate Motion Compensation for SAR Imagery based on INS/GPS with Dual-filter Correction

Published online by Cambridge University Press:  23 May 2019

Linzhouting Chen Open the ORCID record for Linzhouting Chen [Opens in a new window] ,
Zhanchao Liu Open the ORCID record for Zhanchao Liu [Opens in a new window]  and
Jiancheng Fang
Linzhouting Chen*
Affiliation:
(College of Aerospace Engineering, Guizhou Institute of Technology, Guiyang, China)
Zhanchao Liu
Affiliation:
(Key Laboratory of Fundamental Science for National Defense-Novel Inertial Instrument and Navigation System Technology, Beihang University, Beijing, China)
Jiancheng Fang
Affiliation:
(Key Laboratory of Fundamental Science for National Defense-Novel Inertial Instrument and Navigation System Technology, Beihang University, Beijing, China)
*
(E-mail: chenlzt@163.com)
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Abstract

Current Motion Compensation (MOCO) methods using Inertial Navigation System (INS)/Global Positioning System (GPS) integrated systems have provided an important advance in Synthetic Aperture Radar (SAR) imagery, but most of these methods only work well over a short imaging period. With the development of high-resolution SAR that provides image gathering over long periods, the need for higher levels of INS/GPS performance than normally available is desired. The higher requirement of INS/GPS for SAR MOCO is two-fold: (1) the accurate knowledge of location information, and (2) the smoothness of relative change in navigation error. In this paper, we design an INS/GPS architecture with dual-filter correction to obtain accurate absolute velocity and position measurement information with smooth low relative error noise over a long image gathering period. Real SAR data experimental results show that the proposed method effectively improves the MOCO performance of INS/GPS with long SAR imaging periods, in which the SAR azimuth resolution reaches 1·45 m, which is very close to the design value of 1 m.

Keywords

INS/GPSMotion CompensationDual-filter CorrectionSynthetic Aperture RadarLong Imaging Period
Type
Research Article
Information
The Journal of Navigation , Volume 72 , Issue 6 , November 2019 , pp. 1399 - 1416
Copyright
Copyright © The Royal Institute of Navigation 2019 

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