Lepage Kyle, Thomson David J, Kraut Shawn, Brady David J
Department of Mathematics, Queen's University, Kingston, Ontario, Canada.
Appl Opt. 2006 May 1;45(13):2940-54. doi: 10.1364/ao.45.002940.
Multitaper methods for a scan-free spectrum estimation that uses a rotational shear interferometer are investigated. Before source spectra can be estimated the sources must be detected. A source detection algorithm based upon the multitaper F-test is proposed. The algorithm is simulated, with additive, white Gaussian detector noise. A source with a signal-to-noise ratio (SNR) of 0.71 is detected 2.9 degrees from a source with a SNR of 70.1, with a significance level of 10(-4), approximately 4 orders of magnitude more significant than the source detection obtained with a standard detection algorithm. Interpolation and the use of prewhitening filters are investigated in the context of rotational shear interferometer (RSI) source spectra estimation. Finally, a multitaper spectrum estimator is proposed, simulated, and compared with untapered estimates. The multitaper estimate is found via simulation to distinguish a spectral feature with a SNR of 1.6 near a large spectral feature. The SNR of 1.6 spectral feature is not distinguished by the untapered spectrum estimate. The findings are consistent with the strong capability of the multitaper estimate to reduce out-of-band spectral leakage.
研究了使用旋转剪切干涉仪进行无扫描频谱估计的多窗谱方法。在估计源光谱之前,必须先检测到源。提出了一种基于多窗F检验的源检测算法。该算法使用加性高斯白噪声进行了仿真。在显著性水平为10(-4)时,从信噪比为70.1的源处2.9度检测到一个信噪比为0.71的源,其显著性比使用标准检测算法获得的源检测大约高4个数量级。在旋转剪切干涉仪(RSI)源光谱估计的背景下研究了插值和预白化滤波器的使用。最后,提出、仿真了一种多窗谱估计器,并与无窗估计进行了比较。通过仿真发现,多窗估计能够区分大光谱特征附近信噪比为1.6的光谱特征。无窗谱估计无法区分信噪比为1.6的光谱特征。这些发现与多窗估计减少带外光谱泄漏的强大能力是一致的。