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

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)

机构地区：[1]电子信息控制重点实验室,成都610036

出　　处：《电子信息对抗技术》2021年第3期54-56,81,共4页Electronic Information Warfare Technology

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.

关 键 词：不敏卡尔曼滤波 测向 时差 联合定位 单形采样 

分 类 号：TN971.3[电子电信—信号与信息处理]