首页|基于自适应阈值优化算法的Golay编码RDTS研究

基于自适应阈值优化算法的Golay编码RDTS研究

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Golay编码可有效提升拉曼分布式光纤测温(RDTS)系统的信号强度,但数据处理量增加了 4倍,大量数据的累加平均影响了信噪比和测量速度.文中提出了基于Golay编码的自适应阈值优化算法,旨在提升RDTS的信噪比和数据处理速率.分析了Golay编码RDTS的信号特征,设计了粒子群优化的自适应阈值算法,动态调整小波阈值,实现最优降噪.实验证明:与仅用Golay编码相比,在 45 km长的传感光纤测试中,末端信噪比从 14.5 dB提升至 21.7 dB,末端最大温度不确定度从±7℃降低至±2.5℃,同样精度下,累加平均次数从30 万次降至3 万次.
Research on Golay Code RDTS Based on Adaptive Threshold Optimization Algorithm
The Golay coding effectively enhances the signal strength of the Raman distributed temperature sensing(RDTS)system,however,it results in a quadrupling of the data processing volume.Moreover,the accumulation and averaging of a substan-tial amount of data have an impact on both the signal-to-noise ratio and measurement speed.The proposed algorithm based on Go-lay coding aimed to enhance the signal-to-noise ratio and data processing rate of RDTS through adaptive threshold optimization.The signal characteristics of Golay-coded RDTS were analyzed,and an adaptive threshold algorithm optimized by particle swarm optimization was devised to dynamically adjust the wavelet threshold for achieving optimal noise reduction.The experimental re-sults demonstrate that,when compared to the utilization of solely Golay coding,in a 45 km long sensor fiber test,the signal-to-noise ratio at the end exhibited an increase from 14.5 dB to 21.7 dB,while concurrently reducing the maximum temperature un-certainty at the end from±8℃to±2.5℃.Furthermore,with equivalent precision,there was a reduction in the number of accu-mulation averages required from 300,000 to 30,000 times.

Golay codingRaman distributed temperature sensing(RDTS)systemparticle swarm optimizationwavelet threshold denoisingsignal-to-noise ratiomeasurement time

赵宇、高妍、张红娟、靳宝全

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太原理工大学电气与动力工程学院

太原理工大学,新型传感器与智能控制教育部重点实验室

Golay编码 拉曼分布式光纤测温系统 粒子群优化 小波阈值降噪 信噪比 测量时间

山西省重点研发计划项目中央引导地方科技发展资金项目山西省科技创新团队项目

202102130501021YDZJSX20231B004201805D131003

2024

仪表技术与传感器
沈阳仪表科学研究院

仪表技术与传感器

CSTPCD北大核心
影响因子:0.585
ISSN:1002-1841
年,卷(期):2024.(9)
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