Abstract:Line shape optimized maximum entropy spectral estimation (LOMEE) is to remove the influence resulting from line shape by Fourier self-deconvolution and to model interferogram data in order to substitute AR model parameters for the spectral estimator. The proper calculation of AR model parameters in LOMEE is very important to the quality of recovered spectrum. Modified covariance method (MCOV) and Burg method were used to solve AR model parameters under different noise level. The simulation results of recovered spectrum were acquired with the two methods. The influences of AR order and signal-to-noise ratio on the simulation were compared. It is shown that MCOV is more excellent than Burg in LOMEE.
Key words:Fourier self-deconvolution;Autoregressive model;Spectral estimator;AR model order;Signal-to-noise ratio
高晓峰,徐之海*. 线型优化最大熵光谱估计方法中自回归模型两种求解方法的比较[J]. 光谱学与光谱分析, 2008, 28(11): 2717-2720.
GAO Xiao-feng,XU Zhi-hai*. Comparison of Two Methods to Solve AR Model Parameters of Line Shape Optimized Maximum Entropy Spectral Estimation. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2008, 28(11): 2717-2720.