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基于最小偏度单形采样UKF的测向/时差联合定位技术

A Two-Station DOA/TDOA Location Algorithm Based on UKF
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摘要 测向/时差联合定位算法具有仅需要2个节点即可实现良好的定位精度,具有很好的应用前景。在双站测向/时差联合定位的原理基础上,提出一种基于测向/时差的最小偏度单形采样不敏卡尔曼滤波(UKF)定位算法。通过计算机仿真实验表明,基于最小偏度单形采样的UKF的测向/时差联合定位算法收敛速度快,定位精度高。 The two-station DOA/TDOA joint location algorithm has wide application prospect,as its high location accuracy.At First,two-station DOA/TDOA location principle is introduced,the minimal skew simplex sampling unscented Kalman Filter(UKF)algorithm based on DOA/TDOA parameter measurement is derived.The performance of rapid convergence velocity and the high location precision is validated with the simulation.
作者 杨阳 夏雄 胡飞 YANG Yang;XIA Xiong;HU Fei(Science and Technology on Electronic Information Control Laboratory,Chengdu 610036,China)
出处 《电子信息对抗技术》 北大核心 2021年第3期54-56,81,共4页 Electronic Information Warfare Technology
关键词 不敏卡尔曼滤波 测向 时差 联合定位 单形采样 Unscented Kalman Filter(UKF) DOA TDOA joint location simplex sampling
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