徐毓, 李群, 周焰, 杨瑞娟. 按分量加权的探测目标状态线性融合[J]. 武汉大学学报 ( 信息科学版), 2002, 27(4): 420-423.
引用本文: 徐毓, 李群, 周焰, 杨瑞娟. 按分量加权的探测目标状态线性融合[J]. 武汉大学学报 ( 信息科学版), 2002, 27(4): 420-423.
XU Yu, LI Qun, ZHOU Yan, YANG Ruijuan. A Fusion Method of Target State Based on Weights for State Vectors[J]. Geomatics and Information Science of Wuhan University, 2002, 27(4): 420-423.
Citation: XU Yu, LI Qun, ZHOU Yan, YANG Ruijuan. A Fusion Method of Target State Based on Weights for State Vectors[J]. Geomatics and Information Science of Wuhan University, 2002, 27(4): 420-423.

按分量加权的探测目标状态线性融合

A Fusion Method of Target State Based on Weights for State Vectors

  • 摘要: 给出了一种在使残差方差矩阵的迹最小化意义下的状态估计线性组合的最优融合准则和加权矩阵的计算公式,并给出了利用实际数据计算的试验结果。结果表明,利用本方法使融合后的目标轨迹与目标真实运动轨迹非常接近,能有效地提高雷达情报的综合质量

     

    Abstract: In the pattern of distributive radar data processing,a target is tracked and estimated by sensors,so various filtered states from the measurements that origin the same target should be fused in order to obtain the more accurate state and flight track of the target.Considering the elements of the estimator's state are different in real scenario,their attributions to the fused state will be different.A fusion rule of linear combination that make the matrix trace of error of mean root be minimized is presented in the paper,and the algorithm of calculation of weight matrix is also driven based on the Lagrange multiplier method.Finally the testing results show that the fused track approaches to the real track.This means that the quality of intelligence can be improved by the method.

     

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