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A marine multi-element remote sensing detection system based on laser Brillouin spectroscopy
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Qian Sun1, 2, Song Yang1, 2, Kun Liang3, Jinghao Zhang1, 2, Mingyuan Ren1, 2, Tong Li1, 2, Ruizhe Zhang1, 2, Zhenmin Shen1, 2, Xiaomin Ye4, Yongchao Zheng1, 2
Opto-Electronic Engineering | 2026, 53(6) : 250377 - 1
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Opto-Electronic Engineering | 2026, 53(6): 250377-1
• Article •
A marine multi-element remote sensing detection system based on laser Brillouin spectroscopy
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Qian Sun1, 2, Song Yang1, 2, Kun Liang3, Jinghao Zhang1, 2, Mingyuan Ren1, 2, Tong Li1, 2, Ruizhe Zhang1, 2, Zhenmin Shen1, 2, Xiaomin Ye4, Yongchao Zheng1, 2
Affiliations
  • 1Beijing Institute of Space Mechanics & Electricity, Beijing 100094, China
  • 2Core Professional Laboratory of Laser Information Perception Technology, China Academy of Space Technology, Beijing 100094, China
  • 3School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
  • 4National Satellite Ocean Application Service, Beijing 100081, China
Published: 2026-06-25 doi: 10.12086/oee.2026.250377
Outline
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Objective

The three-dimensional structure of oceanographic parameter profiles, particularly temperature and salinity, has persistently posed a significant challenge in remote sensing detection. While traditional ocean color satellites and microwave radiometers can achieve sea surface temperature measurements with accuracies better than 0.5 K and salinity measurements with monthly averages of 0.1 psu, these techniques are fundamentally limited to two-dimensional planar observations. In situ measurements from ships and buoys, though capable of vertical profiling, yield discrete, asynchronous, and non-global data that cannot satisfy the requirements of ocean science, environmental monitoring, marine economy, and national defense. Conventional oceanographic lidar systems, which rely solely on echo intensity detection, are unable to simultaneously measure multiple parameters like temperature and salinity. To address this critical gap, this paper proposes a novel remote sensing system for multi-parameter oceanographic detection based on Brillouin laser spectroscopy.

Methods

The proposed system leverages the laser non-elastic scattering effect, specifically spontaneous Brillouin scattering, which occurs when photons interact with thermal acoustic phonons in seawater. The Brillouin frequency shift and linewidth are functions of seawater temperature and salinity, as they depend on physical properties including sound velocity, refractive index, density, and viscosity coefficients. A two-parameter inversion model is established by solving coupled equations that relate Brillouin shift and linewidth to temperature and salinity. Through regression fitting of numerical data generated across temperature ranges of 0–30 °C and salinity ranges of 0–35 ‰, empirical formulas are derived to directly calculate temperature and salinity from measured Brillouin parameters.

The detection system comprises a transmitter system, a receiver system, and an integrated control and data processing system. A frequency-stabilized narrow-linewidth laser employing injection seeding and iodine molecular frequency stabilization technology serves as the light source, with a center frequency stability of 6 MHz, wavelength output at 532.29 nm, single pulse energy of 1 mJ, and pulse width of 7.6 ns. The core spectroscopic detection module consists of a high-precision Fizeau interferometer coupled with a highly sensitive 16-channel photomultiplier tube (PMT) array. The Fizeau interferometer is designed with a plate spacing of 6 mm to achieve a free spectral range of 25 GHz, a mirror reflectivity of 0.873 to yield an instrumental function linewidth of 1.079 GHz, and a plate angle of 6.65 μrad with a clear aperture of 40 mm. When the laser beam passes through the Fizeau interferometer, the Rayleigh and two Brillouin components form three distinct transmission peaks at different positions on the PMT array. The multi-channel signals are processed through baseline correction, abnormal signal rejection, noise suppression, and cumulative averaging. A nonlinear least-squares fitting algorithm is then employed to reconstruct the discrete Brillouin spectrum, extracting the frequency shift and linewidth from the measured data.

Results and Discussions

Simulation analyses reveal that to achieve temperature retrieval accuracy ≤1 K and salinity accuracy ≤2 psu for typical seawater conditions (temperature 10-25 °C, salinity 30-35 psu), the measurement uncertainty of both Brillouin shift and linewidth must be controlled within 20 MHz. This requirement drives the stringent design specifications of the system components. The PMT channel number selection is optimized based on simulation results showing that 8 or more channels satisfy the detection requirements, with 16 channels selected for the actual system implementation.

Laboratory experiments were conducted in a controlled water tank environment using two separate tanks to simulate layered water body slices, with independently controllable temperature and salinity conditions. Tank 1 was maintained at 23.1 °C and 33.8 psu, while Tank 2 was maintained at 23.4 °C and 34.8 psu. The laser pulses sequentially passed through both tanks, and the backscattered signals were received and processed. After data accumulation of 8000 pulses, the system achieved temperature measurement accuracy of 0.37 °C and salinity accuracy of 0.79 psu, with maximum errors of 0.72 °C and 1.52 psu respectively over five repeated measurements. The relationship between accumulation counts and measurement accuracy was investigated, showing that accuracy improves with increasing accumulation counts and converges to the system's optimal performance at approximately 8000 accumulations.

Conclusions

This paper successfully demonstrates a Brillouin spectroscopy-based remote sensing system capable of simultaneous temperature and salinity profiling in seawater. The system combines a frequency-stabilized laser, a custom-designed Fizeau interferometer with optimized parameters, and a multi-channel PMT array for high-resolution spectral detection. The two-parameter inversion model effectively derives temperature and salinity from measured Brillouin shift and linewidth. Laboratory validation confirms that the system achieves temperature accuracy of 0.37 °C and salinity accuracy of 0.79 psu, exceeding the design targets of 1 K and 2 psu respectively. These results establish the feasibility of using Brillouin lidar for remote sensing of oceanographic vertical profiles, providing a promising new approach to address the long-standing challenge of three-dimensional ocean parameter measurement. Future work will focus on field deployment and validation under real oceanic conditions.

lidar  /  temperature  /  salinity  /  oceanographic profile
孙倩, 杨颂, 梁琨, 张景豪, 任明源, 李同, 张睿哲, 沈振民, 叶小敏, 郑永超. 一种基于激光布里渊光谱的海洋多要素遥感探测系统. 光电工程, 2026 , 53 (6) : 250377 -1 . DOI: 10.12086/oee.2026.250377
Qian Sun, Song Yang, Kun Liang, Jinghao Zhang, Mingyuan Ren, Tong Li, Ruizhe Zhang, Zhenmin Shen, Xiaomin Ye, Yongchao Zheng. A marine multi-element remote sensing detection system based on laser Brillouin spectroscopy[J]. Opto-Electronic Engineering, 2026 , 53 (6) : 250377 -1 . DOI: 10.12086/oee.2026.250377
Year 2026 volume 53 Issue 6
91
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Article Info
doi: 10.12086/oee.2026.250377
  • Receive Date:2025-12-04
  • Online Date:2026-10-22
  • Published:2026-06-25
Article Data
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History
  • Received:2025-12-04
  • Revised:2026-04-26
  • Accepted:2026-04-30
Affiliations
    1Beijing Institute of Space Mechanics & Electricity, Beijing 100094, China
    2Core Professional Laboratory of Laser Information Perception Technology, China Academy of Space Technology, Beijing 100094, China
    3School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
    4National Satellite Ocean Application Service, Beijing 100081, China

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表12种不同金属材料的力学参数
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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