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Research on tracking of maneuvering multi-target based on bionics for IRST system

机译:基于仿生学的IRST系统机动多目标跟踪研究

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This paper mainly studies bearing-only target tracking based on bionics for IRST system. Some solutions for the key problem are presented in order to apply in an actual bearing-only engineering system. They include sensor technology, measurement pretreatment technology, association gate technology, data association technology, state filtering technology, etc. The premise of these new approaches is designing an effective sensor system which can reliably search and track targets in a large range. Then, it is important to improve the confirming efficiency of the real target and limit false track overextension with the dense clutter. Then, tracking processing needs a precise target initialization information and association information between the existing target and isolated measurement. At the same time, the threat level of the bearing-only target needs to be estimated based on limited bearing-only information. Finally, aiming at unrecognized model and complex maneuvering motion for bearing-only target in polar coordinates, an effective approach of state filtering algorithm with appropriate computation cost will be given. The application of the proposed approach in an actual engineering system proves its effectiveness and practicability.
机译:本文主要研究基于仿生学的IRST系统纯方位目标跟踪。提出了关键问题的一些解决方案,以便在实际的仅轴承工程系统中应用。它们包括传感器技术,测量预处理技术,关联门技术,数据关联技术,状态过滤技术等。这些新方法的前提是设计一种有效的传感器系统,该系统可以在大范围内可靠地搜索和跟踪目标。然后,重要的是提高真实目标的确认效率并限制密集杂波的错误轨道过度延伸。然后,跟踪处理需要精确的目标初始化信息以及现有目标和孤立测量之间的关联信息。同时,需要基于有限的纯方位信息估计纯方位目标的威胁级别。最后,针对极坐标中仅方位目标无法识别的模型和复杂的机动运动,给出了一种具有适当计算量的有效状态滤波算法。该方法在实际工程系统中的应用证明了其有效性和实用性。

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