基于稀疏分解的大功率半导体激光器1/f噪声参数估计的新方法

本文结合1/f噪声信号功率谱随频率成反比变化的关系, 以及稀疏分解可以根据信号灵活构造原子库的特点, 提出一种基于稀疏分解估计大功率半导体激光器1/f噪声的新方法, 构造了具备1/f噪声特点的过完备库. 在该过完备库中通过Matching Pursuit(MP)算法完成了白噪声与1/f噪声混叠信号的稀疏分解. 实验结果显示:该方法估计出淹没在白噪声环境中1/f噪声的γ 参数, 与频谱分析仪的测量结果有较好的一致性, 通过对比不同的过完备库证明了所构造的过完备库的优越性.

A new method to estimate the parameter of 1/f Noise of high power semiconductor laser diodes based on sparse decomposition

Considering that the power spectral density of 1/f noise signal varics inversely with frequency and sparse decomposition is able to create dictionaries according to signals’ own features,in this paper we propose a new method to estimate the parameter of 1/f noise of high power semiconductor laser diode based on sparse decomposition,and create a dictionary whose feature is similar to 1/f noise.Sparse decomposition of white noise and 1/f noise aliased signal is implemented by Matching-Pursuit(MP) algorithm. The experimental results indicate that sparse decomposition could effectively estimate the parameterγof 1/f noise signal covering white noise and the estimated parameter is in accordance with the measured result of spectrum analyzer.Finally,the superiority of the dictionary created in this paper is illustrated by comparing with a different dictionary.