| 渐消递推滤波辅助光谱分析：最佳自适应算法 |
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| 引用本文： | 李志良,余般梅.渐消递推滤波辅助光谱分析：最佳自适应算法[J].应用科学学报,1994,12(2):150-158. |
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| 作者姓名： | 李志良 余般梅 |
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| 作者单位： | 湖南大学四达应用化学研究所，国防科学技术大学，湖南大学，中科院化学冶金研究所 |
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| 基金项目： | 国家开放实验室与自然科学基金及四达应用化学研究所基金 |
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| 摘 要： | 研究了Ｋａｌｍａｎ渐消递推最佳滤波辅助光谱辨析。基于Ｋａｌｍａｎ滤波达到最优时其新息序列互不相关的性质，提出了一种新的渐消滤波─—最佳自适应算法。通过在线自适应地调整遗忘因子从而使滤波（器）在存在模型误差或受到外扰时仍保持收敛性和最优性。用于重叠峰的辨识，能取得更好效果。
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| 关 键 词： | 渐消递推滤波 自适应算法 光谱分析 |
FADING RECURSIVE FILTERING AIDED SPECTROSCOPY An Optimal Adaptive Algorithm |
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| LI ZHILIANG YU BANMEI.FADING RECURSIVE FILTERING AIDED SPECTROSCOPY An Optimal Adaptive Algorithm[J].Journal of Applied Sciences,1994,12(2):150-158. |
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| Authors: | LI ZHILIANG YU BANMEI |
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| Institution: | LI ZHILIANG YU BANMEI(Hunan University)(Changsha Institute(STAR Institute of Applied Chemistry)of Technology)QIAN FENG SHI LEMING PAN ZHONGXIAO(Hunan University)(Chemical Metallurgy Institute)NIE SHENGZHE(ST AR Institute of Applied Chemistry) |
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| Abstract: | The fading Kalman recursive optimal filtering is studied for spectroscopicresolution,Based on the nature of Kalman filter that the residual sequenees arenot correlated when the optimal gain is obtained, a new fading filtering-optimaladaptive algorithm is proposed and utilized. Through the on-line and adaptiveadjustment of the fading or forgetting factor,the convergency and optimality ofKalman filtering are improved using measured outputs or estimated results, evenwhen there exist model errors and/or when the system is affected by unmeasurableexternal disturbances.The algorithm developed is applied to overlapped peakresolution with good results. |
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| Keywords: | fading recursive filtering Kalman filter optimal adaptive algorithm chemometrics spectroscopic resolution multicompo- nent analysis |
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