基于转换测量卡尔曼滤波的雷达导引头目标跟踪

Shi Wen, Wang Zhengyang, Zhou Shiping, Ling Yunji, Hu Zhe
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引用次数: 2

摘要

针对海面目标跟踪的需要,基于CA运动模型,推导了雷达导引头坐标变换引起的测量偏差和SIMU误差引起的预测偏差的统计分布。通过消除卡尔曼滤波中测量方程和预测方程中的这种偏差,使滤波器能够正确收敛。仿真结果表明,该方法经过短暂的收敛后,可以实现稳定的目标跟踪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Target Tracking of Radar Seeker Based on Converted Measurement Kalman Filter
For the requirement of sea-surface target tracking, based on CA motion model, the statistical distribution of the measurement deviation of radar seeker resulting from coordinate transformation and the prediction deviation caused by SIMU error was deduced in this paper. By removing such deviations in the measurement equation and the prediction equation in Kalman filter, the filter is able to converge correctly. Simulation results show the stable target tracking is achieved after a brief convergence by this method.
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