Noise-tolerance detection of high-frequency dynamic targets with mid-infrared thermal radiation via intra-cavity enhanced upconversion

Broadband and highly sensitive mid-infrared (MIR) light detection and imaging play a crucial role in environmental monitoring, gas detection, biomedical applications, and national defense security. However, the detection of high-frequency, long-distance dynamic targets with MIR thermal emission is still limited by the long response time of commercial detectors and intense environmental noise. Here, we demonstrate a noise-tolerance intra-cavity enhanced broadband MIR upconversion system by counting the upconverted lights through a high-sensitivity single photon detector. The intra-cavity enhanced pump power of 1064 nm reaches about 200 W, resulting in a high upconversion efficiency with the MIR spectra ranging from 3 μm to 5 μm. By performing discrete Fourier transformations of the arrival time of each upconverted photon, the frequency-domain imaging manifests a strong noise-tolerance feature, even under the ratio of the noise-to-signal of up to 100. The excellent performance of our system has also been evidenced by measuring the rotation frequency of a turbojet engine in outdoor conditions. Our proposal offers promising applications to recognize long-distance dynamic targets, such as airplanes and unmanned aerial vehicles, in real-world scenarios with the highly desired suppression of intense background noise and stray light.

Authors

Institutions

Publication Details

Journal
Optics Express
Published
2025-04-24
DOI
https://doi.org/10.1364/oe.559602
Primary Topic
Advanced Optical Sensing Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Noise-tolerance detection of high-frequency dynamic targets with mid-infrared thermal radiation via intra-cavity enhanced upconversion

Zhennan Shi, Zhixing Qiao, Ruiyun Chen, Zhichun Yang et al.
Optics Express
Advanced Optical Sensing Technologies
article

Noise-tolerance detection of high-frequency dynamic targets with mid-infrared thermal radiation via intra-cavity enhanced upconversion

Zhennan Shi, Zhixing Qiao, Ruiyun Chen, Zhichun Yang, Xilong Liang, Suotang Jia, Yafang Xu, Chengbing Qin, Liantuan Xiao, Guofeng Zhang, Xinghui Liu, Jianyong Hu, Shuai Dong
article en

Abstract

Broadband and highly sensitive mid-infrared (MIR) light detection and imaging play a crucial role in environmental monitoring, gas detection, biomedical applications, and national defense security. However, the detection of high-frequency, long-distance dynamic targets with MIR thermal emission is still limited by the long response time of commercial detectors and intense environmental noise. Here, we demonstrate a noise-tolerance intra-cavity enhanced broadband MIR upconversion system by counting the upconverted lights through a high-sensitivity single photon detector. The intra-cavity enhanced pump power of 1064 nm reaches about 200 W, resulting in a high upconversion efficiency with the MIR spectra ranging from 3 μm to 5 μm. By performing discrete Fourier transformations of the arrival time of each upconverted photon, the frequency-domain imaging manifests a strong noise-tolerance feature, even under the ratio of the noise-to-signal of up to 100. The excellent performance of our system has also been evidenced by measuring the rotation frequency of a turbojet engine in outdoor conditions. Our proposal offers promising applications to recognize long-distance dynamic targets, such as airplanes and unmanned aerial vehicles, in real-world scenarios with the highly desired suppression of intense background noise and stray light.

Optics ExpressVol. 33(10)
Shanxi Medical University (CN), Taiyuan University of Technology (CN)
National Natural Science Foundation of China, Higher Education Discipline Innovation Project, National Key Research and Development Program of China, Shanxi Provincial Key Research and Development Project
Affordable and clean energy
Openalex Percentile: Top 91%
Advanced Optical Sensing Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.