| 摘要: |
| 针对目标估计过程需要大量人工参与、自动化程度低的问题，提出了基于数据质量评价的目标估计方法。利用目标数据质量评价方法，对不同传感器得到的目标数据质量进行科学、有效的测度和评价，并根据质量得分动态调整各数据源在目标估计过程中所占的权重，从而减少人工干预，提高目标估计效能。仿真试验结果证明了该方法的有效性。 |
| 关键词: 信息融合 目标估计 数据质量 融合自动化 |
| DOI： |
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| 基金项目: |
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| Target estimation based on data quality evaluation |
| HE Wenjiao |
| (Southwest China Institute of Electronic Technology, Chengdu 610036, China) |
| Abstract: |
| For the problem in the target estimation process which is primarily based on manual work and is not automatic,a target estimation method based on data quality evaluation is proposed.The quality evaluation method of target data obtained by different sensors is used to measure and evaluate the quality of target data scientifically and effectively,and the data weight in the process of target estimation is dynamically adjuster according to the quality score,thereby reducing the manual intervention and improving the fusion efficiency.Simulation results show the effectiveness of the proposed method. |
| Key words: information fusion target estimation data quality fusion automation |
