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Application of Kalman Filter to Rebuild Targets Movement from Radar Images of Marine Traffic in Tokyo Bay

机译：卡尔曼滤波在东京湾海上交通雷达图像重建目标运动中的应用

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摘要

For marine traffic management,a radar system has been set up and being operated in Tokyo Bay.Basing on the radar images received from the system,moving targets inside the bay can be tracked automatically or manually.In this study,authors would briefly mention an approach of automatic radar tracking.The accuracy of moving target information is,however,usually degraded by noise.Therefore,a suitable form of the Kalman Filter is to be designed and applied to reconstruct targets speed and course,as well as providing a more reliable track.Filtering results were also shown to be stable and less affected by noise.

机译：为了进行海上交通管理，东京湾已经建立并运行了一个雷达系统。根据从该系统接收到的雷达图像，可以自动或手动跟踪海湾中的移动目标。然而，运动目标信息的准确性通常会因噪声而降低。因此，将设计一种合适形式的卡尔曼滤波器并将其应用于重构目标速度和航向，并提供更可靠的目标。滤波结果也显示稳定且受噪声影响较小。

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来源
《Asia Navigation Conference 2008》|2008年|288-296|共9页
会议地点 Shanghai(CN);Shanghai(CN)
作者
CHEN Hongjiang; rnWU Lihong; rnTANG Yangui;
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作者单位

NGUYEN Minh Duc@Tokyo University of Marine Science and Technology 2-1-6,Etchujima,Koto-ku,Tokyo,135-8533,Japan--Hitoi TAMARU@Tokyo University of Marine Science and Technology 2-1-6,Etchujima,Koto-ku,Tokyo,135-8533,Japan--TASSEDA E1 Hoecine@Tokyo University of Marine Science and Technology 2-1-6,Etchujima,Koto-ku,Tokyo,135-8533,Japan--;

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原文格式 PDF
正文语种 eng
中图分类船舶驾驶、航海学;
关键词
Tokyo bay; marine traffic; radar system; kalman filter;

机译：东京湾;海上交通;雷达系统;卡尔曼滤波;

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专利

1. Maneuvering target tracking from nautical radar images using particle-Kalman filters [J] . Chen S., Huang W. Journal of Electromagnetic Waves and Applications . 2013,第18期

机译：使用粒子卡尔曼滤波器从航海雷达图像中进行机动目标跟踪
2. MULTISENSOR DISTRIBUTED EXTENDED KALMAN FILTERING ALGORITHM AND ITS APPLICATION TO RADAR/IR TARGET TRACKING [J] . 电子科学学刊：英文版 . 1998,第001期

机译：多传感器分布式扩展卡尔曼滤波算法及其在雷达/红外目标跟踪的应用
3. Kalman filter aided target density function for radar imaging [J] . Ridvan Firat Cinar, Fatih Kocadag, Askin Demirkol . 2019,第19期

机译：卡尔曼滤波辅助目标密度函数用于雷达成像
4. Application of Kalman Filter to Rebuild Targets Movement from Radar Images of Marine Traffic in Tokyo Bay [C] . Asia Navigation Conference . 2008

机译：卡尔曼滤波器在东京湾海洋交通雷达图像重建目标运动
5. H(infinity)/H(2)/Kalman filtering of linear dynamical systems via variational techniques with applications to target tracking . [D] . Rawicz, Paul Lawrence. 2000

机译：线性动态系统的H（无限）/ H（2）/卡尔曼滤波的变分技术及其在目标跟踪中的应用。
6. Cognitive Radar Waveform Optimization Based on Mutual Information and Kalman filtering [O] . Yu Yao, Junhui Zhao, Lenan Wu 2018

机译：基于相互信息和卡尔曼滤波的认知雷达波形优化
7. The Target Vehicle Movement State Estimation Method with Radar Based on Kalman Filtering Algorithm [O] . Xin Jia, Zuolong Wu, Hsin Guan 2013

机译：基于卡尔曼滤波算法的雷达目标车辆运动状态估计方法
8. General Measurement Design Philosophy for the Kalman Filter Estimation with Special Application Given to the Imaging Radar Autofocus Update. [R] . McCormick, W. S. 1983

机译：具有特殊应用的卡尔曼滤波器估计的一般测量设计理念，用于成像雷达自动聚焦更新。

Application of Kalman Filter to Rebuild Targets Movement from Radar Images of Marine Traffic in Tokyo Bay

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