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基于分布式信息融合的多舰纯方位跟踪
A Distributed Multiple Warships Passive Location Algorithm Based on Information Fusion
【摘要】 提出一种基于信息融合的分布式多舰纯方位跟踪算法 ,该算法采用时变采样间隔的修正增益推广卡尔曼滤波器 ,用多条舰艇的舰载电子侦察设备对海上多个运动辐射源目标进行分布式纯方位跟踪融合。计算机模拟结果表明 ,该算法能满足工程应用的要求
【Abstract】 This paper presents a distributed multiple warships bearings only tracking algorthm based on information fusion.This algorthm adopts the time varying sampling Modified Gain Extended Kalman Filter(MGEKF),and shipborne ESM of multiple warships are used to distributed bearings only tracking fusion multiple maritime moving emitters.Computer simulations results proved that this algorithm can satisfy the need of the practical applications.
【关键词】 时变采样间隔的修正增益推广卡尔曼滤波;
分布式纯方位跟踪;
【Key words】 time varying sampling MGEKF; distributed bearings only tracking;
【Key words】 time varying sampling MGEKF; distributed bearings only tracking;
【基金】 国防九五重点科研资助项目
- 【文献出处】 火力与指挥控制 ,Fire Control & Command Control , 编辑部邮箱 ,2002年03期
- 【分类号】E925.6
- 【被引频次】4
- 【下载频次】115