Remote sensing of flammable and toxic gases via IPDA lidar with InGaAs/InP single-photon detector over C + L band
An integrated path differential absorption lidar (IPDA) for remote sensing of flammable and toxic gases is proposed, which is based on a broadband-tunable external-cavity diode laser (ECDL) and InGaAs/InP single-photon detector (SPD). An ECDL can maintain a narrow linewidth of 10 kHz throughout the continuous frequency scanning process in the C + L-band (1520-1620 nm), thus allowing a single laser to satisfy the detection requirements of multiple gases. To eliminate the influence of background light, a programmable frequency- and bandwidth-tunable grating filter is designed to synchronously tune with the output frequency of the ECDL. A homemade multi-channel coupled InGaAs/InP SPD maintains high detection efficiency in the C + L-band, ensuring the remote sensing detection capability of lidar. Four gases-CO, H<sup>13</sup>CN, C<sub>2</sub>H<sub>2</sub>, and NH<sub>3</sub>-with absorption lines spanning ∼45 nm in wavelength are selected to verify the multi-gas monitoring capability of the lidar. The intensity errors caused by erroneous photon counts and the non-linear frequency caused by the hysteresis effect of piezoelectric ceramic transducer are corrected to enhance the accuracy of absorbance spectra. The standard deviations of residuals between the experiment and single-peak fitting results for CO, H<sup>13</sup>CN, C<sub>2</sub>H<sub>2</sub> are 0.22%, 0.54%, 0.39%, while the mean deviations are 0.19%, 0.44%, 0.29%, respectively. For the four-peak fitting of NH<sub>3</sub>, those values are 0.55% and 0.38%, respectively. Continuous 12-hour monitoring of the path-integrated concentrations of the four gases is conducted to verify the stability and accuracy of the system. The mean deviations and standard deviations of CO, H<sup>13</sup>CN, C<sub>2</sub>H<sub>2</sub>, and NH<sub>3</sub> are 0.13%, 0.13%, 0.02%, 0.17%, and 1.07%, 1.68%, 1.21%, 0.67%, respectively.
Authors
- Zhen Zhang (ORCID: https://orcid.org/0000-0003-2435-1916)
- Haiyun Xia (ORCID: https://orcid.org/0000-0001-5542-4802)
- Saifen Yu (ORCID: https://orcid.org/0009-0005-1159-5470)
- Zhekai Li (ORCID: https://orcid.org/0009-0003-3523-9505)
- Jiong Qiu (ORCID: https://orcid.org/0000-0002-2797-744X)
- Jiadong Hu (ORCID: https://orcid.org/0000-0001-9552-9617)
- Tengfei Wu (ORCID: https://orcid.org/0000-0001-8924-5749)
- Yi Li (ORCID: https://orcid.org/0000-0002-3806-4152)
- Hong Han (ORCID: https://orcid.org/0000-0003-2985-1418)
- Kangxian Guo
Institutions
- Aviation Industry Corporation of China (China) (CN)
- University of Science and Technology of China (CN)
- Nanjing University of Information Science and Technology (CN)
- Fo Guang University (TW)
Publication Details
- Journal
- Optics Express
- Published
- 2025-08-26
- DOI
- https://doi.org/10.1364/oe.572795
- Citations
- 1
- Primary Topic
- Advanced Optical Sensing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 1.19