中国激光, 2020, 47 (3): 0304009, 网络出版: 2020-03-12
基于光谱奇偶函数分解的光纤布拉格光栅峰值检测 
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Peak Detection of Fiber Bragg Grating Spectra Using Even-Odd Function for Spectral Decomposition
图 & 表
图 1. 非对称高斯模型模拟的光谱。(a) P(λ); (b) Pc(λ)
Fig. 1. Spectra simulated by asymmetrical Gaussianmodel. (a) P(λ); (b) Pc(λ)
图 2. Pc(λ)函数曲线及其奇函数分解。(a) Pc(λ)和 Pc(-λ); (b) Pco(λ)
Fig. 2. Function curves of Pc(λ) and odd function of its decomposition. (a) Pc(λ) and Pc(-λ); (b) Pco(λ)
图 3. 光谱信号x(n)前后补零。(a)当i< N/2时,在x(n)前补零;(b)当i>N/2时,在x(n)后补零
Fig. 3. Zero filling before and after spectral signal x(n). (a) Before x(n), when i<N/2; (b) behind x(n),when i>N/2
图 5. 采用不同算法计算的非对称高斯模型的 FBG光谱中心波长
Fig. 5. Central wavelengths of the FBG spectra of asymmetrical Gaussian models with different algorithms
图 6. 采用不同算法计算的不同SNR下的非对称高斯模型光谱中心波长。 (a) SNR:0.5 dB;(b) SNR:1.0 dB;(c) SNR:5.0 dB;(d) SNR:10.0 dB
Fig. 6. Central wavelengths of spectra of asymmetrical Gaussian model under different SNR with different algorithms. (a) SNR: 0.5 dB; (b) SNR: 1.0 dB; (c) SNR: 5.0 dB; (d) SNR: 10.0 dB
表 1各算法中心波长的残留值和RMSE值
Table1. Residual value of central wavelength and RMSE value of each algorithm
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陆祈祯, 丁朋, 黄俊斌. 基于光谱奇偶函数分解的光纤布拉格光栅峰值检测[J]. 中国激光, 2020, 47(3): 0304009. Lu Qizhen, Ding Peng, Huang Junbin. Peak Detection of Fiber Bragg Grating Spectra Using Even-Odd Function for Spectral Decomposition[J]. Chinese Journal of Lasers, 2020, 47(3): 0304009.
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