船舶远距离目标跟踪的数据融合算法  

Research on data fusion algorithm for ship long distance target tracking

作　　者：余建国[1] YU Jian-guo(Zhengzhou University of Aeronautics-School of Intelligent Engineering,Zhengzhou 450046,China)

机构地区：[1]郑州航空工业管理学院智能工程学院,河南郑州450046

出　　处：《舰船科学技术》2023年第12期144-147,共4页Ship Science and Technology

基　　金：嵩山实验室预研项目(YYJC032022022);河南省2023年科技攻关项目(232102210059)。

摘　　要：海上船舶的远距离目标探测和跟踪技术不论在军事领域还是民用领域都具有广泛的应用,比如远距离目标侦察、海上舰船管理等,远距离目标探测与跟踪技术通常依托于船载雷达,近年来,为了提高船舶雷达的目标探测和跟踪精度,雷达阵列技术、多传感器技术被广泛使用。本文针对船舶多雷达探测器下的目标跟踪场景,重点介绍一种基于卡尔曼滤波算法的远距离目标跟踪数据融合算法,通过多传感器的数据融合技术,提高船舶远距离目标的跟踪精度,具有一定的应用价值。The long-range target detection and tracking technology of ships at sea has a wide range of applications in both military and civilian fields,such as long-range target reconnaissance,ship management and so on,The long-range target detection and tracking technology usually relies on shipborne radar.In recent years,in order to improve the accuracy of ship radar's target detection and tracking.Radar array technology and multi-sensor technology are widely used.Aiming at the target tracking scene under the ship's multi-radar detector,this paper focuses on introducing a remote target tracking data fusion algorithm based on Kalman filter algorithm.Through the multi-sensor data fusion technology,the ship's remote target tracking accuracy can be improved,which has important application value.

关 键 词：目标跟踪 雷达 卡尔曼滤波 数据融合 

分 类 号：U624.25[交通运输工程—船舶及航道工程]