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Research on Multi-Mode Fusion Tracking of OTHR based on Auction Algorithm

机译:基于拍卖算法的OTHR多模式融合跟踪研究

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In OTHR's tracking system,we will estimate the state of a discrete-time,linear stochastic system whose observation process consists of a finite set of known,non-linear measurement models.MPDA is capable of exploiting multipath target signatures arising from discrete propagation modes that are resolvable by the radar,but it is very time-consuming and will bring multipath tracks.In this paper,a Multi-Mode Fusion Tracking of OTHR based on Auction algorithm (AMFT) is proposed,which effectively solve the problem of multi-mode measurements.When tracking a single and non-maneuvering target with four possible measurements,simulations in clutter environment show that the computing speed of the algorithm proposed in this paper is greatly higher than that of MPDA,and the tracking precision just a little lower than that of MPDA,further more,A-MFT will not bring multipath tracks and do not need consequent track association.
机译:在OTHR的跟踪系统中,我们将估算一个离散时间线性随机系统的状态,该系统的观测过程由一组有限的已知非线性测量模型组成。MPDA能够利用离散传播模式产生的多径目标特征,雷达可分辨,但非常耗时,会带来多径跟踪。本文提出了一种基于拍卖算法(AMFT)的OTHR多模式融合跟踪,有效解决了多模式问题在具有四个可能的测量值的单个非机动目标上进行跟踪时,在杂乱环境下的仿真表明,本文提出的算法的计算速度大大高于MPDA,并且跟踪精度略低于MPDA。此外,A-MFT不会带来多径轨道,因此不需要轨道关联。

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