基于大地坐标系的舰艇协同作战分散融合算法

Li Duan, Xinhan Huang, Qi-Yuan Li, Bin Luo
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引用次数: 2

摘要

针对广海战场海军协同作战问题,提出了一种基于大地坐标系的舰艇分散融合体系结构。为了提高机动目标跟踪和融合性能,从两个方面进行了努力。一方面,提出了更合适的基于大地坐标系的目标运动模型和观测模型;另一方面,将平方根无气味卡尔曼滤波方法与信息滤波框架相结合,提出了一种分散融合算法DSR-UKF。该算法可以统一近程、中程和远距离情况下的跟踪和融合算法,简化了目标计算的系统信息流。仿真结果表明了该算法的有效性和鲁棒性,具有较高的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Decentralized Fusion Algorithm Established in Geodetic Coordinate System for Naval Ships Cooperative Engagement
Aiming at naval cooperative engagement problem in wide sea battleground, a decentralized fusion architecture based on geodetic coordinate system for naval ships was presented. To increase the performance of maneuvering target tracking and fusion two efforts are made. On the one hand, more appropriate target motion model and observation model based on geodetic coordinate system are provided, on the other hand, by combining the square root-unscented Kalman filter methodology and the information filter framework, a decentralized fusion algorithm denoted as DSR-UKF is developed. The proposed algorithm can unify tracking and fusion algorithms in short range, intermediate range and long-distance circumstances, and simplifies the system information flow for target calculation. The simulation results show the efficiency and robustness of the proposed algorithm with high precision.
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