A FPGA-based high-speed demodulation algorithm for FBG

Shen Yafeng; Zhang Lei; Hu Chunyan

doi:10.13756/j.gtxyj.2014.02.020

您当前的位置：

首页 >

文章列表页 >

A FPGA-based high-speed demodulation algorithm for FBG

- A FPGA-based high-speed demodulation algorithm for FBG
- Study on Optical communication Issue 2, Pages: 39-42(2014)
- 作者机构：
  
  中航工业北京长城计量测试技术研究所
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2014.02.020
  CLC： TP212.9
- Published：2014，
扫描看全文
[1]申雅峰,张磊,胡春艳.一种基于FPGA的光纤光栅高速解调算法[J].光通信研究,2014(02):39-42.

Shen Yafeng, Zhang Lei, Hu Chunyan. A FPGA-based high-speed demodulation algorithm for FBG. [J]. (2):39-42(2014)
[1]申雅峰,张磊,胡春艳.一种基于FPGA的光纤光栅高速解调算法[J].光通信研究,2014(02):39-42. DOI： 10.13756/j.gtxyj.2014.02.020.

Shen Yafeng, Zhang Lei, Hu Chunyan. A FPGA-based high-speed demodulation algorithm for FBG. [J]. (2):39-42(2014) DOI： 10.13756/j.gtxyj.2014.02.020.

摘要

为了使光纤光栅在实际工程中得到更广泛的应用

文章提出了一种基于FPGA（现场可编程门阵列）的光纤光栅高速解调算法及关键技术的实现方法。采用FPGA设计了信号解调硬件平台

通过低复杂度的L-M拟合算法

实现了光纤光栅反射光谱峰值的精确定位

对L-M算法进行简化处理提高了解调处理速度。实验结果表明

该算法具有较好的稳定性和重复性

在满足高精度测量的同时

还能满足高速实时的要求。

Abstract

For still wider applications of Fiber Bragg Grating（FBG）in practical projects

this paper presents a FPGA-based high-speed demodulation algorithm and the implementation of its key technologies.It designs a signal demodulation hardware platform using the FPGA technology

implemets the accurate positioning of the FBG reflective spectral peak values using the low-complexity L-M fitting algorithm and increases the demodulation processing speed by simplifying the L-M algorithm.The test results show that this algorithm has good stability and repeatability and meets the requirements for high-speed

real-time and highly accurate measurement.

关键词

光纤布拉格光栅波长解调L-M算法高速解调现场可编程门阵列

Keywords

FBGwavelength demodulationL-M algorithmhigh-speed demodulationFPGA

references

更多指标>

Views

197

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

The 2.5 Gbit/s Optical System Used in Illumination Guidance System based on Serial Parallel Transceiver

Review of Fiber Bragg Grating Fabricated by Femtosecond Laser Processing

Simulation Study on Spectral Characteristics of FBG based on Integrated Structure of Core-and-cladding

Real-time Implementation of Chaos Synchronization Using Neural Network based on FPGA

Real-Time and Parallel Post-Processing for High-Speed Quantum Random Number Generation

Related Author

No data

Related Institution

Shanghai Aerospace Electronic Technology Institute

School of Ocean Technology Sciences, Qilu University of Technology (Shandong Academy of Sciences)

Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences)

Beijing Laboratory of Optical Fiber Sensing and Systems, Beijing Information Science and Technology University

Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University

⁰