Using the thought of multiscale analysis,we combine the model-based analysis method with the multiscale signal transformation method and propose a new algorithm of multiscale fusion estimation based on multi-sensor single model.At each scale we have obtained the fusion estimates by use of all sensors at finer scales,which can be effictively used for data fusion estimation for dynamic systems with multi-sensors at multirate sampling.%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，建立起目标状态基于多源观测信息的多尺度数据融合估计新算法，在每个尺度上获得目标状态基于全体细尺度上传感器测量信息的融合估计值，此算法可有效地应用于拥有不同采样速率的多传感器动态系统的数据融合估计.
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