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该文将多尺度分析的思想和多传感器数据融合技术相结合,基于不同尺度多传感器观测下的带乘性噪声系统,提出了线形最小方差意义下的分布式最优滤波融合算法。针对该算法进行了仿真研究,仿真结果表明了数据融合条件下算法的有效性。
This paper combines the idea of multi-scale analysis and multisensor data fusion technology, and proposes a distributed optimal filter fusion algorithm in the sense of linear minimum variance based on the multiplicative noise system under different scales and multisensor observations. The algorithm is simulated and the simulation results show the effectiveness of the algorithm under the condition of data fusion.