An Inversion Method of the Attitude for InSAR/INS Integrated Navigation

JIANG Shuai, WANG Bing-nan, XIANG Mao-sheng, FU Xi-kai, SUN Xiao-fan, LI Yin-wei

ACTA ELECTRONICA SINICA ›› 2018, Vol. 46 ›› Issue (3) : 513-519.

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ACTA ELECTRONICA SINICA ›› 2018, Vol. 46 ›› Issue (3) : 513-519. DOI: 10.3969/j.issn.0372-2112.2018.03.001

An Inversion Method of the Attitude for InSAR/INS Integrated Navigation

  • JIANG Shuai1,2, WANG Bing-nan1, XIANG Mao-sheng1,2, FU Xi-kai1,2, SUN Xiao-fan1,2, LI Yin-wei3
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Abstract

The attitude information of the platform is important for navigation, but the attitude information of the platform cannot be obtained in the synthetic aperture radar (SAR) aided inertial navigation system (SAR/INS). The single-antenna global positioning system (GPS) cannot complete the requirement of attitude measurement. Therefore, we propose a method of interferometric SAR aided INS (InSAR/INS) system based on interferogram matching. The InSAR system is susceptible to the attitude of the platform, therefore, the attitude of the platform can be inversed by the interferometric system with high precision. In this article, we analyze the effects of attitude errors on the location error and establish the inversion model of attitude. According to the location errors gained by interferogram matching, we can obtain the attitude information through solving nonlinear equation sets with Levenberg Marquardt (LM) algorithm. At last, we verify the validity of inversion model by simulation and actual data.

Key words

InSAR/INS integrated navigation / interferogram matching / inversion model of attitude / LM algorithm

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JIANG Shuai, WANG Bing-nan, XIANG Mao-sheng, FU Xi-kai, SUN Xiao-fan, LI Yin-wei. An Inversion Method of the Attitude for InSAR/INS Integrated Navigation[J]. Acta Electronica Sinica, 2018, 46(3): 513-519. https://doi.org/10.3969/j.issn.0372-2112.2018.03.001

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Funding

Chinese Academy of Sciences Interdisciplinary Innovation Team; National Natural Science Foundation of Shanghai Municipality,  China (No.15ZR1439500); National Natural Science Foundation of China (No.41601508)
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