多尺度动态模型单传感器动态系统分布式信息融合
Distributed Information Fusion Algorithm for Single Sensor Dynamic System on the Basis of Multiscale Dynamic Models
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摘要: 利用多尺度分析的思想,将基于模型的动态系统分析方法与基于统计特性的多尺度 信号变换方法相结合,在不同尺度上拥有对目标状态进行不同描述的多模型动态系统,提出 多尺度分布式信息融合估计新算法,在最细尺度上获得目标状态基于全局信息的融合估计 值,初步解决了多尺度动态模型信息融合问题,这些工作丰富和发展了信息融合理论.Abstract: Using the idea of multiscale analysis and by combining the model-based analysis method for dynamic systems with the multiseale signal transformation method, we put forward a new algorithm of multiscale distributed information fusion estimation. For multi-model dynamic systems having different description for target state at different scales, at the finest scale we can obtain the optimal fusion estimates based on global information, which give a primary solution to the information fusion estimation of multiscale dynamic systems. This work enriches and develops the information fusion theory.
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Key words:
- Multiscale analysis /
- wavelet transform /
- Kalman filtering /
- data fusion
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