| 摘要: |
| 航管雷达一二次航迹融合过程中，直接用得到的含噪声的报告点来更新航迹时，航迹连续性较差，关联的正确性下降。对此现象进行了具体原因分析，用得到一二次雷达的报告点加权平均作为实际航迹输出的方法进行改进。根据一二次雷达数据未能正确关联的现象，在关联步骤中加入当前点和融合航迹中的对应航迹进行比较，如果当前报告点能和融合航迹中的点更好地匹配，就置换出融合航迹中的对应航迹，然后用置换出的航迹点当成新报告点重复融合算法过程。实验结果证明,采用改进融合算法能正确地分析产生异常现象的原因，并很好地解决了异常现象。 |
| 关键词: 航管雷达；航迹融合 加权平均 关联正确性 |
| DOI： |
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| 基金项目:国家高技术研究发展计划(863计划)项目（2012AA011804） |
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| Anomalies analysis of data fusion for ATC primary and secondary radar |
| CAO Guo-hai,WANG Yun-feng |
| () |
| Abstract: |
| In the process of primary and secondary fusion of air traffic control(ATC) radar,the track continuity is poor and the correctness of association declines when the report points containing noise are used to refresh track.This paper analyzes the reasons and improves the algorithm by using the report points of primary and secondary radar to conduct weighted average as the output of the actual track. According to the phenomenon that the data of primary and secondary radar cannot associate correctly,the current points are added and compared with the corresponding track of the fusion track on the process of association.If the current reporting points better match the points of fusion track, the corresponding track of fusion track is replaced, and then the process of the fusion algorithm is repeated by using the replacement of the track points as a new report point. Experimental results show that the improved algorithm can analyze the causes of anomalies correctly, and is a better solution to anomalies of data fusion. |
| Key words: ATC radar primary and secondary fusion weighted average correctness of association |
《电讯技术》编辑部 