1. 西北工业大学第365研究所,陕西,西安,710072
2. 西北工业大学自动化学院,陕西,西安,710072
3. 南京电子技术研究所,江苏,南京,210013
4. 西北工业大学第365研究所陕西西安,710072
5. 西北工业大学自动化学院陕西西安,710072
6. 南京电子技术研究所江苏南京,210013
纸质出版:2009
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刘慧霞, 梁 彦, 陈绪元, 等. 一种自适应天波超视距雷达航迹融合算法[J]. 电子学报, 2009,37(6):1348-1352.
LIU Hui-xia, LIANG Yan, CHEN Xu-yuan, et al. An Adaptive OTHR Multipath Track Fusion Algorithm[J]. Acta Electronica Sinica, 2009, 37(6): 1348-1352.
针对天波超视距雷达在雷达坐标系下跟踪目标时
多路径传播效应下的各模式航迹起始与终结时刻不同而造成航迹缺失条件下的航迹融合问题
本文给出一种自适应天波超视距雷达航迹融合算法
通过应用当前时刻获得的新信息与历史时刻获得的信息联合确定最优关联假设
从而获得最优的目标状态估计.仿真表明
与多假设航迹融合算法相比
本文的算法大大降低了融合结果误差.
The multipath propagation of skywave over-the-horizon radar (OTHR) in target tracking makes the tracking filter in radar coordinate inevitably produce several tracks for a single target
and the propagation modes of the tracks are not determinate.The target state in ground coordinate can be obtained by the association of tracks
propagation modes and targets
and track fusion.Other problems of OTHR are low detection probabilities
low measurement accuracy and low data-sampling rate
which usually results in track absence in some radar dwells or the case that tracks of some modes may be never initialized.An adaptive OTHR multipath track fusion algorithm is proposed
which decides the optimal association of tracks
propagation modes and targets by the information of present time and the historical information.The mode association hypothesis of each step is modified with new data cumulating.The simulation results show that the algorithm of this paper can greatly decrease the state estimation error
compared with the multihypothesis fusion of multipath OTHR tracks algorithm.
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