基于竞价算法的OTHR多模融合跟踪研究

Kong Min, Wang Guohong
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引用次数: 4

摘要

在OTHR的跟踪系统中,我们将估计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能够利用雷达可分辨的离散传播模式产生的多径目标特征,但耗时长且会产生多径航迹。提出了一种基于拍卖算法(a - mft)的多模OTHR融合跟踪方法,有效地解决了多模测量问题。杂波环境下的仿真结果表明,本文算法的计算速度大大高于MPDA算法,跟踪精度略低于MPDA算法,且不会产生多径航迹,不需要后续航迹关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Multi-mode Fusion Tracking of OTHR Based on Auction Algorithm
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 (A-MFT) 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.
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