Ultra-low temperature-sensitivity optical cable and its application to large-scale microwave photonics signal distribution

Jing Cai; Hao Zhang; Fei Liu; Pengfei Qu

doi:10.1117/12.3007863

21 December 2023 Ultra-low temperature-sensitivity optical cable and its application to large-scale microwave photonics signal distribution

Jing Cai, Hao Zhang, Fei Liu, Pengfei Qu

Author Affiliations +

Proceedings Volume 12966, AOPC 2023: AI in Optics and Photonics ; 1296622 (2023) https://doi.org/10.1117/12.3007863
Event: Applied Optics and Photonics China 2023 (AOPC2023), 2023, Beijing, China

Abstract

In this paper, two kinds of ultra-low temperature-sensitivity optical cables are proposed and demonstrated. Negative expansion coefficient material of liquid crystal polymer (LCP) is tightly integrated with conventional optical fibers through precise extrusion process. Performance investigations were conducted in detail. The temperature delay coefficients for the proposed optical cable products are within the range of 2.2～11.2 ps/km/℃ and -4.1～2.0 ps/km/℃ for the ambient temperature varied from -40 ℃ to +55 ℃. Compared with the conventional one, the attained performance improvement of an order of magnitude is quite attractive. To further verify the phase consistence in large-scale microwave photonics distribution, a microwave frequency distribution system is established. The phase difference is below 0.25° for a 10 GHz frequency signal in a normal room condition, while the absolute phase for each unit fluctuates over 1.6°. The proposed ultra-low temperature-sensitivity optical cables will promote diverse advances in large-scale distributed scientific facilities with high performance and simple system complexity.

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

Citation Download Citation

Jing Cai, Hao Zhang, Fei Liu, and Pengfei Qu "Ultra-low temperature-sensitivity optical cable and its application to large-scale microwave photonics signal distribution", Proc. SPIE 12966, AOPC 2023: AI in Optics and Photonics , 1296622 (21 December 2023); https://doi.org/10.1117/12.3007863

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