24 October 2017 Adaptive elimination of optical fiber transmission noise in fiber ocean bottom seismic system
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Proceedings Volume 10464, AOPC 2017: Fiber Optic Sensing and Optical Communications; 104641D (2017) https://doi.org/10.1117/12.2285192
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China
Abstract
In this paper, a pressure and acceleration insensitive reference Interferometer is used to obtain laser and public noise introduced by transmission fiber and laser. By using direct subtraction and adaptive filtering, this paper attempts to eliminate and estimation the transmission noise of sensing probe. This paper compares the noise suppression effect of four methods, including the direct subtraction (DS), the least mean square error adaptive elimination (LMS), the normalized least mean square error adaptive elimination (NLMS) and the least square (RLS) adaptive filtering. The experimental results show that the noise reduction effect of RLS and NLMS are almost the same, better than LMS and DS, which can reach 8dB (@100Hz). But considering the workload, RLS is not conducive to the real-time operating system. When it comes to the same treatment effect, the practicability of NLMS is higher than RLS. The noise reduction effect of LMS is slightly worse than that of RLS and NLMS, about 6dB (@100Hz), but its computational complexity is small, which is beneficial to the real time system implementation. It can also be seen that the DS method has the least amount of computational complexity, but the noise suppression effect is worse than that of the adaptive filter due to the difference of the noise amplitude between the RI and the SI, only 4dB (@100Hz) can be reached. The adaptive filter can basically eliminate the influence of the transmission noise, and the simulation signal of the sensor is kept intact.
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Qiuwen Zhong, Qiuwen Zhong, Zhengliang Hu, Zhengliang Hu, Chunyan Cao, Chunyan Cao, Hongsheng Dong, Hongsheng Dong, } "Adaptive elimination of optical fiber transmission noise in fiber ocean bottom seismic system", Proc. SPIE 10464, AOPC 2017: Fiber Optic Sensing and Optical Communications, 104641D (24 October 2017); doi: 10.1117/12.2285192; https://doi.org/10.1117/12.2285192
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