Abstract:For the digital X-ray fluorescence analyzer, the voltage of the instability baseline will directly affect the performance of the instrument, resulting in decreased energy resolution. In order to solve this problem, Kalman filtering algorithm was used for pulse signal baseline estimate in the digital X-ray fluorescence. Whether using the classic Kalman filter, or the simplified sage-husa, or the improved sage-husa, their baseline filtering effects were all poor. So, it is necessary to improve and optimize existing algorithms. The method of Double-Forgotten was put forward to establish a new model of adaptive Kalman filter algorithm based on the sage-husa. The experiment results show that a very good filtering effect was obtained using the mathematical model of the baseline filter. The algorithm solved the problem of filtering divergence, avoided slow convergence of baseline and realized the pulse baseline restoration, and improved the instrumental energy resolution.
王 敏,周建斌*,方 方,施泽明,周 伟,刘 易,曹建宇,朱 星 . X荧光分析仪中数字基线估计的研究 [J]. 光谱学与光谱分析, 2013, 33(01): 233-236.
WANG Min, ZHOU Jian-bin*, FANG Fang, SHI Ze-ming, ZHOU Wei, LIU Yi, CAO Jian-yu, ZHU Xing . The Study of Baseline Estimated in Digital XRF Analyzer . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(01): 233-236.
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