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一种多模型滤波的分级递阶模型集调整方法

, PP. 21-27

Keywords: 多模型滤波,模型集自适应,分级递阶模型集

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Abstract:

模型集的动态调整方案是变结构多模型滤波的核心问题之一.文中借鉴生物免疫系统中B细胞识别抗原的工作原理,提出一种分级递阶式的模型集调整方法.它将系统模型集分解成基础网格和移动网格两个部分,由基础网格探测系统模式的大致分布区域,由移动网格在基础网格指示区域进行精细搜索获得滤波结果.由于该方法将普通较大的系统模型集分解成由两个较小模型集构成的递阶结构,有效减小交互式滤波算法的计算时间.仿真实验表明,该方法利用较少的滤波时间能够获得较高的滤波精度。

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