| 基于推广Kalman滤波的机载无源定位改进算法 |
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| 引用本文： | 李硕,曾涛,龙腾,毛二可.基于推广Kalman滤波的机载无源定位改进算法[J].北京理工大学学报,2002,22(4):521-524. |
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| 作者姓名： | 李硕 曾涛 龙腾 毛二可 |
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| 作者单位： | 北京理工大学,电子工程系,北京,100081 |
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| 摘 要： | 研究空中运动观测平台对地面辐射源目标的纯方位信息定位算法,提出改进的二阶EKF定位算法以提高定位估计精度.用推广Kalman滤波算法代替传统的最小二乘定位算法.充分利用观测平台的运动信息建立了可观测的观测方程,并采用二阶EKF算法解决了在观测误差较大的情况下导致的非线性误差较大的问题.采用Monte Carlo仿真比较LS,EKF和二阶EKF 3种方法的性能.证明用这种方法可以达到更好的估计精度,能够将目标位置定位在更小的概率椭圆内.概率误差椭圆缩小了30%.
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| 关 键 词： | 无源定位 三角定位 Kalman滤波 推广Kalman滤波 |
| 文章编号： | 1001-0645(2002)04-0521-04 |
| 收稿时间： | 2001/10/10 0:00:00 |
| 修稿时间： | 2001年10月10日 |
Improvement on Passive Location Algorithm Based on Extended Kalman Filter |
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| LI Shuo,ZENG Tao,LONG Teng and MAO Er ke.Improvement on Passive Location Algorithm Based on Extended Kalman Filter[J].Journal of Beijing Institute of Technology(Natural Science Edition),2002,22(4):521-524. |
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| Authors: | LI Shuo ZENG Tao LONG Teng and MAO Er ke |
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| Institution: | Dept. of Electronics Engineering, Beijing Institute of Technology, Beijing100081, China;Dept. of Electronics Engineering, Beijing Institute of Technology, Beijing100081, China;Dept. of Electronics Engineering, Beijing Institute of Technology, Beijing100081, China;Dept. of Electronics Engineering, Beijing Institute of Technology, Beijing100081, China |
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| Abstract: | Brings forward an improved bearing only location algorithm for airborne observers. Extended Kalman filter (EKF) is used to substitute the traditional least square location. Information about movement of the airborne platform is introduced into the observation equation to build up an observable system. Second order EKF algorithm is used to resolve the nonlinearity error produced by the nonlinearity observation function. The three methods of location are compared by Monte Carlo simulation. The results proved that second order EKF used in passive location problems led to better estimation precision. The estimation results appear in a smaller probability ellipse, which is reduced to 30% of the ellipse by LS estimation. |
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| Keywords: | passive location triangle location Kalman filter extended Kalman filter |
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