按分量加权的探测目标状态线性融合

详细信息

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

1 Automation Department, Tsing University, Haidian, Beijing, China, 100084;
2 Air Force Radar Academy, 69 Zhaojiatiao Road, Wuhan, China, 430019;
3 National Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan, China, 430079

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
- 传感器 /
- 状态估计 /
- 融合
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.
- sensor /
- state estimation /
- fusion