一种基于卡尔曼滤波的实时对齐算法

2006 1st International Symposium on Systems and Control in Aerospace and Astronautics Pub Date : 2006-05-08 DOI:10.1109/ISSCAA.2006.1627495

Bo Wang, Zhigang Li, Yuedong Liu

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引用次数: 3

摘要

对准问题是雷达组网数据融合的先决条件。传统的固定雷达配准算法在忽略姿态误差和姿态误差的情况下无法解决移动雷达的配准问题。本文对这一问题进行了研究。利用泰勒级数，推导了测量值与误差之间的线性模型，在此基础上提出了一种基于卡尔曼滤波的移动雷达实时对准算法。最后，通过仿真验证了该算法的有效性

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A real-time alignment algorithm based on Kalman filter

Alignment problem is a prerequisite process for data fusion of the radar networking. Classical registration algorithms are always proposed for fixed radars, which can't solve the alignment problem of the mobile radars ignoring attitude and attitude errors. This problem is studied in this paper. Using Taylor series, the linear model between the measurements and the errors are derived, and then a new real-time alignment algorithm for mobile radars is proposed based on Kalman filter. Finally, the effectiveness of this algorithm is conformed by simulation

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来源期刊

2006 1st International Symposium on Systems and Control in Aerospace and Astronautics

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