Research on carrier tracking algorithm of low earth orbit satellite based on particle filter

Zhengmin Luan; Zhigang Li; Yonglun Li

doi:10.1117/12.2557623

3 January 2020 Research on carrier tracking algorithm of low earth orbit satellite based on particle filter

Zhengmin Luan, Zhigang Li, Yonglun Li

Proceedings Volume 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019); 113732Z (2020) https://doi.org/10.1117/12.2557623
Event: Eleventh International Conference on Graphics and Image Processing, 2019, Hangzhou, China

Abstract

In high dynamic environments, signals in low earth orbit (LEO) satellites and terrestrial communications have large Doppler shifts. Traditional carrier tracking loops based on multi-stage frequency-locked loops and phase-locked loops perform poorly. In recent years, particle tracking based carrier tracking loops have been brought into consideration. In this paper, the standard particle filter (PF) and unscented particle filter (UPF) are analyzed in principle, and based on this, an improved unscented particle filter algorithm is derived, and the carriers based on these three algorithms are derived. The tracking loop is simulated by MATLAB. The new algorithm reduces the complexity of the UPF algorithm under the premise of ensuring accuracy.

Citation Download Citation

Zhengmin Luan, Zhigang Li, and Yonglun Li "Research on carrier tracking algorithm of low earth orbit satellite based on particle filter", Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 113732Z (3 January 2020); https://doi.org/10.1117/12.2557623

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