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基于dtcwt与核密度估计的太阳光谱红移测量方法
首发时间：2022-05-19
摘要：太阳光谱红移测量是天文测速导航的一个重要环节，其目的是从光谱中测量出由多普勒效应引起的红移。本文提出了一种基于双树复小波变换（dtcwt）和核密度估计相结合的太阳光谱红移自主测量方法。该方法首先采用双树复小波变换去除观测谱线的噪声并进行特征谱线提取，再根据模板匹配得到红移候选集合，再运用核密度估计法得到红移候选中密度最大的点，进而计算出真实的红移值。实验结果表明，在信噪比大于8之后，测量允许误差为0.001的范围内，该方法准确率达到96%以上。该方法抗噪效果良好，在信噪比为2时，准确率达到75%以上。
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solar spectral redshift measurement method based on dtcwt and kernel density estimation
abstract：solar spectral redshift measurement is an important step in astronomical velocity navigation. its purpose is to measure the red shift caused by doppler effect from the spectrum. in this paper, an autonomous method of spacecraft redshift measurement based on dual tree complex wavelet transform (dtcwt) and kernel density estimation is proposed. firstly, double tree complex wavelet transform was used to remove the noise of the observed spectral lines and extract the characteristic spectral lines, then the red shift candidate set was obtained by template matching, and the kernel density estimation method was used to get the maximum density point of the red shift candidate, and then the real red shift value was calculated. experimental results show that when the snr is greater than 8 and the measurement error is 0.001, the accuracy of this method is above 96%. when the snr is 2, the accuracy is more than 75%.
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基于dtcwt与核密度估计的太阳光谱红移测量方法
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