基于线性多目标综合概率数据关联的超视距雷达多路径数据关联

Yuan Huang, S. Chong, T. Song, J. Lee
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引用次数: 2

摘要

在超视距雷达(OTHR)应用中,由于信号通过电离层的多种传播路径,一个目标可以产生多个探测。传统的联合多检测数据关联算法在应用于OTHR时存在计算量大的问题。与传统的联合多重检测数据关联结构不同,提出了一种基于调制杂波测量密度的新方案。当包含一个或多个测量值的测量单元与航迹相关联时,该方案不仅考虑该测量单元由杂波产生的可能性,而且考虑该测量单元由其他目标产生的可能性。利用调制后的杂波测量密度,可以将单目标数据关联结构应用于多目标数据关联。仿真结果表明,与传统的联合多检测联合数据关联结构相比,该算法的计算效率大大提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-path Data Association for Over-the-Horizon Radar Using Linear Multitarget Integrated Probabilistic Data Association
In over-the-horizon radar (OTHR) applications, one target can generate multiple detections due to the multiple signal propagation paths through the ionosphere. Traditional joint multiple detection data association algorithms suffer from the high computational load when they are applied to OTHR. Different from the traditional joint multiple detection data association structures, a novel scheme is developed based on the modulated clutter measurement density. When a measurement cell, which contains one or more measurements, is associated to a track, the proposed scheme considers not only the possibility that this measurement cell is generated by clutter but also the possibility that this measurement cell is generated from other targets. Using the modulated clutter measurement density, a single target data association structure can be applied to multitarget data association. The simulation results show that the proposed algorithm is much more computationally efficient compared to the traditional joint multiple detection joint data association structures.
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