多结构和不等精度估计的数据融合

Zhangming He, Zhengfang Ma, Jiongqi Wang, Xuanying Zhou, Zhiwen Chen, Dayi Wang, Bowen Hou
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引用次数: 0

摘要

研究了多结构、不等精度参数估计的数据融合问题。使用同余变换、迹函数和矩阵微分等矩阵工具来分析估计性能。理论结果表明:单设备估计、最优融合估计和联合估计是融合估计的一些特殊情况。此外,还比较了不同融合估计方法的精度,并给出了它们之间的关系:通过对V-2导弹弹道计算的仿真,验证了四种估计的性能。
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Data fusion for multi-structure and unequal-precision estimation
Data fusion for parameter estimation with multi-structure and unequal-precision is considered in this paper. Matrix tools e.g., congruent transformation, trace function and matrix differential, are used to analyze the estimation performance. Theoretical results reveal that: the single equipment estimate, the optimal fusion estimate, and the joint estimate are some special cases of the fusion estimate. Moreover, the precisions of different fusion estimation methods are compared, the relations among which are provided in the following theorems. The performance of the four estimates are validated by the simulation of trajectory calculation for the V-2 missile.
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