| 逐级最优自适应滤波算法 |
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| 引用本文： | 石星,戴庆芬,李乐民.逐级最优自适应滤波算法[J].信号处理,1998(1). |
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| 作者姓名： | 石星 戴庆芬 李乐民 |
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| 作者单位： | 电子科技大学(石星，李乐民)，电子部十所(戴庆芬) |
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| 摘 要： | 本文提出了应用整体最小二乘技术的递推自适应滤波算法。论证说明了算法的收敛特性。从最小二乘到整体最小二乘的逐级优化使滤波结构具有灵活的配置。通过高级EDA软件SPW的模拟，验证了算法在自适应杂波抑制中的有效性．整个算法具有相对高性能和易实现的特点。
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| 关 键 词： | 整体最小二乘（TLS） 自适应滤波 逐级最优 |
Gradual Optimization Adaptive Recursive Filtering |
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| Shi Xing, Dai Qingfen , Li Leming.Gradual Optimization Adaptive Recursive Filtering[J].Signal Processing,1998(1). |
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| Authors: | Shi Xing Dai Qingfen Li Leming |
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| Affiliation: | Shi Xing; Dai Qingfen ; Li Leming (UESTC) (The 10th Institute of EIM) |
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| Abstract: | Based on the techniques of Total Least Square (TLS) an adaptive recursive-filtering algorithm is proposed in this paper. The convergence of the algorithm is expounded and proved. The gradual optimization from Least (LS) to Total tal square (TLS) enable the structure of the algorithm allocated flexibly . The simulation of using advanced EDA software verifies the effectiveness of the algorithm in adaptive clutter depression. The algorithm has the feature of good property and can be implemented easily. |
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| Keywords: | Total Least Square (ILS) Adaptive Filtering Gradual Optimizastion |
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