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A multipath data association tracker for over-the-horizon radar

机译:用于超视距雷达的多路径数据关联跟踪器

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摘要

A new algorithm, multipath probabilistic data association (MPDA), for initiation and tracking in over-the-horizon radar (OTHR) is described. MPDA is capable of exploiting multipath target signatures arising from discrete propagation modes that are resolvable by the radar. Nonlinear measurement models exhibiting multipath target signatures in azimuth, slant range, and Doppler are used. Tracking is performed in ground coordinates and therefore depends on the provision of estimates of virtual ionospheric heights to achieve coordinate registration. Although the propagation mode characteristics are assumed to be known, their correspondence with the detections is not required to be known. A target existence model is included for automatic track maintenance. Numerical simulations for four resolvable propagation modes are presented that demonstrate the ability of the technique to initiate and maintain track at probabilities of detection of 0.4 per mode in clutter densities for which conventional probabilistic data association (PDA) has a high probability of track loss, and suffers from track bias. A nearest neighbor version of MPDA is also presented.
机译:描述了一种新算法,即多路径概率数据关联(MPDA),用于在超视距雷达(OTHR)中启动和跟踪。 MPDA能够利用雷达可解析的离散传播模式产生的多径目标签名。使用在方位角,倾斜范围和多普勒上表现出多径目标特征的非线性测量模型。跟踪是在地面坐标中执行的,因此取决于提供虚拟电离层高度的估计值以实现坐标配准。尽管假定传播模式特性是已知的,但是不需要知道它们与检测的对应关系。包括目标存在模型,用于自动轨道维护。提出了四个可解析传播模式的数值模拟,这些模拟模式证明了该技术能够以杂波密度下以每模式0.4的检测概率启动和维持跟踪的能力,而常规概率数据关联(PDA)则具有很高的轨道丢失概率,并且遭受轨道偏差。还提供了MPDA的最近邻居版本。

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