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A Bernoulli Track-Before-Detect Filter for Interacting Targets in Maritime Radar
IEEE Transactions on Aerospace and Electronic Systems ( IF 5.1 ) Pub Date : 2021-01-29 , DOI: 10.1109/taes.2021.3054715
Du Yong Kim , Branko Ristic , Robin Guan , Luke Rosenberg

This article is devoted to the problem of multitarget tracking in the maritime environment using Bernoulli track-before-detect (TBD) filtering. Detection and tracking of weak targets in sea clutter using high-resolution airborne radar is notoriously challenging compared to classical target tracking problems. Furthermore, the measured amplitude in range–azimuth cells that are in the vicinity of closely spaced (interacting) targets represents a superposition of individual target contributions, demanding a special joint treatment. This article proposes a novel solution for multitarget tracking using Bernoulli TBD for maritime radar and covers cases when targets are both far apart and closely spaced. Comparisons with existing TBD algorithms are used to verify the efficacy of the proposed Bernoulli TBD algorithm with realistic sea clutter simulations used to create challenging scenarios with variable target strengths.

中文翻译:

用于海事雷达中相互作用目标的伯努利跟踪前检测滤波器

本文专门研究使用 Bernoulli Track-before-detect (TBD) 过滤在海上环境中进行多目标跟踪的问题。与经典的目标跟踪问题相比,使用高分辨率机载雷达检测和跟踪海杂波中的弱目标是众所周知的挑战。此外,在近距离(相互作用)目标附近的距离-方位角单元中测量的幅度代表单个目标贡献的叠加,需要特殊的联合处理。本文提出了一种使用 Bernoulli TBD 进行海事雷达进行多目标跟踪的新解决方案,并涵盖了目标相距较远和间隔较近的情况。
更新日期:2021-01-29
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