Optimized carrier tracking loop design for high dynamic and low CNR conditions

Yuezu Ji; Zhihao Lin; Yiying Liang

doi:10.1117/12.3010221

20 October 2023 Optimized carrier tracking loop design for high dynamic and low CNR conditions

Yuezu Ji, Zhihao Lin, Yiying Liang

Proceedings Volume 12814, Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023); 1281406 (2023) https://doi.org/10.1117/12.3010221
Event: Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), 2023, Chongqing, China

Abstract

The carrier tracking loop face extreme difficulty in entering a locked-in state for high dynamic and low carrier-to-noise ratio (CNR) environment. To address this issue, this paper presents an improved Frequency-Locked Loop (FLL) serially assisted Phase-Locked Loop (PLL). The improved carrier tracking loop design consists of a high-dynamic frequency discriminator and a high-dynamic loop filter based on second-order FLL serially assisted third-order PLL. In particular, this proposed frequency discriminator executes an adaptive switching mechanism between the maximum likelihood estimation (MLE) discriminator and the conventional frequency discriminator. Once the Doppler frequency estimation error begins to accumulate, the MLE discriminator will be selected which can pull the Doppler frequency into the working range of the conventional frequency discriminator. Thus, a wider pull-in range can be obtained to provide good frequency discrimination capabilities under high dynamic conditions. The experimental results and comparative analysis demonstrate that the improved FLL serially assisted PLL can achieve an improved tracking performance under high dynamic and low CNR conditions.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuezu Ji, Zhihao Lin, and Yiying Liang "Optimized carrier tracking loop design for high dynamic and low CNR conditions", Proc. SPIE 12814, Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), 1281406 (20 October 2023); https://doi.org/10.1117/12.3010221

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