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Bernoulli Multi-Target Track-Before-Detect for Maritime Radar

机译：伯努利海上雷达多目标检测前检测

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摘要

Detection and tracking of small maritime targets using high resolution radar is a challenging problem due to the temporally and spatially varying nature of the sea surface and the spiky returns which can resemble targets. The traditional approach to radar data processing is to first detect targets using their amplitude information (by comparing the radar returns to a suitably chosen threshold) and then feed the extracted (point) measurements into a target tracking system. An alternative approach which can be exploited to improve tracking of weak targets is to process the raw radar data directly though use of a track before detect (TBD) algorithm. This paper presents the development of a multi-target TBD algorithm for maritime radar with targets that are both widely separated and also closely spaced. The algorithm builds upon the Bayes-optimal single-target TBD filter, referred to as the Bernoulli TBD.
机译：由于海面在时间和空间上的变化以及可能与目标类似的尖刺返回，使用高分辨率雷达对小型海上目标进行检测和跟踪是一个具有挑战性的问题。的传统方法的雷达数据处理是，首先检测使用他们的振幅信息的目标（由雷达回波进行比较来适当选择的阈值），然后喂萃取（点）的测量到目标的跟踪系统。可以用来改善对弱目标的跟踪的另一种方法是通过使用先检测后跟踪（TBD）算法直接处理原始雷达数据。本文介绍了一种海上雷达的多目标TBD算法的开发，该目标既要分开又要间隔很近。该算法以贝叶斯最佳单目标TBD滤波器（称为伯努利TBD）为基础。

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