| 两飞行体相对定位技术及其滤波算法研究 |
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| 引用本文： | 霍长庚,高宪军,谈欣荣.两飞行体相对定位技术及其滤波算法研究[J].吉林大学学报(信息科学版),2012,30(4):387-396. |
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| 作者姓名： | 霍长庚 高宪军 谈欣荣 |
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| 作者单位： | 空军航空大学 ,航空电子工程系,长春 130022 |
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| 摘 要： | 为了解决两飞行体相互之间的定位问题，在二维平面运动模型的基础上提出了相位差变化率定位方法，进行了可观测分析，给出了可观测分析结果。同时简单介绍了几种典型
非线性滤波算法，并将EKF（Extended Kalman Filter）、UKF（Unscented Kalman Filter）、PF(Particle Filter）等非线性滤波方法应用到定位模型中。仿真结果表明，UKF方法用时最短，PF滤波方法精度最高。
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| 关 键 词： | 相对定位 相位差变化率 可观测性 扩展Kalman滤波算法 无迹Kalman滤波算法 粒子滤波算法 |
Relative Localization Method and Filtering Algorithm between Two Aircraft Bodies |
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| HUO Chang-geng
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GAO Xian-jun
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TIAN Xin-rong.Relative Localization Method and Filtering Algorithm between Two Aircraft Bodies[J].Journal of Jilin University:Information Sci Ed,2012,30(4):387-396. |
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| Authors: | HUO Chang-geng GAO Xian-jun TIAN Xin-rong |
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| Institution: | Department of Aviation Electronical Engineering,Aviation University of Air Force,Changchun 130022,China |
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| Abstract: | To solve the positioning problems between two moving bodies,we presents a kind of positioning method based on phase change rate in two-dimensional model,conducts and gives the results of observability analysis.Several classical nonlinear filtering algorithms are introduced and the EKF(Extended Kalman Filter)、UKF(Unscented Kalman Filter)、PF(Particle Filter) are applied to the Location model.Simulation results show that UKF takes the least time and PF is the algorithm with best accuracy. |
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| Keywords: | relative localization phase change rate observability analysis extended Kalman filter(EKF) unscented Kalman filter(UKF) particle filter(PF) |
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