Research on UAV target localization technology based on master INS information transfer alignment

Ying Chen; Zhen Kang; Yuanyuan Xue; Juan Du

doi:10.1117/12.2602142

24 November 2021 Research on UAV target localization technology based on master INS information transfer alignment

Ying Chen, Zhen Kang, Yuanyuan Xue, Juan Du

Proceedings Volume 12065, AOPC 2021: Optical Sensing and Imaging Technology; 120650D (2021) https://doi.org/10.1117/12.2602142
Event: Applied Optics and Photonics China 2021, 2021, Beijing, China

Abstract

In order to improve the target localization accuracy for unmanned aerial vehicle(UAV), a novel resolved case for target accurately localization is proposed using slave-INS which is fixed on electro-optical reconnaissance system. The work flow of this case is presented, the coordinate transformation relation in target localization process is deduced. According to requirement, a slave-INS alignment on moving base using master INS data is designed. Carry out experiment upon vehicular navigation system, the error convergence of azimuth accelerated obviously. The accuracy of azimuth reaches about 0.1°(1 σ). Experiment results show that the localization accuracy for ground target can reach 6m when UAV flies at about 3500m above ground and slant distance is 3700m. the INS has convenience and flexible use which meet to requirement of target localization in electro-optical reconnaissance system on UAV. The accuracy of localization can be increased prominently when this INS is applied to target localization technology. With great practical value.

Citation Download Citation

Ying Chen, Zhen Kang, Yuanyuan Xue, and Juan Du "Research on UAV target localization technology based on master INS information transfer alignment", Proc. SPIE 12065, AOPC 2021: Optical Sensing and Imaging Technology, 120650D (24 November 2021); https://doi.org/10.1117/12.2602142

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available