| 基于观测域平方根UKF的机载无源定位算法 |
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| 引用本文： | 刘学,焦淑红.基于观测域平方根UKF的机载无源定位算法[J].弹箭与制导学报,2011,31(1):193-196. |
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| 作者姓名： | 刘学 焦淑红 |
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| 作者单位： | 哈尔滨工程大学信息与通信工程学院,哈尔滨,150001 |
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| 基金项目： | 973国家安全重大基础研究基金，国防基础科研基金 |
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| 摘 要： | 针对机载无源定位存在滤波稳定性差、收敛速度慢、定位精度低等问题,提出一种观测域平方根UKF滤波算法,新算法充分利用了观测域滤波的自动解耦功能和平方根UKF良好的数值稳定性及非线性滤波能力,并通过最小偏度单形采样的UT变换减少了算法在状态域与观测域之间转换时存在的舍入误差,同时也提高了算法的运行效率。仿真结果表明新算法提高了滤波稳定性、收敛速度和定位精度。
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| 关 键 词： | 机载无源定位 观测域滤波 平方根UKF算法 最小偏度单形采样 |
Measure Space Square Root Unscented Kalman Filter for Airborne Passive Location |
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| LIU Xue,JIAO Shuhong.Measure Space Square Root Unscented Kalman Filter for Airborne Passive Location[J].Journal of Projectiles Rockets Missiles and Guidance,2011,31(1):193-196. |
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| Authors: | LIU Xue JIAO Shuhong |
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| Affiliation: | LIU Xue,JIAO Shuhong(College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China) |
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| Abstract: | In order to enhance robustness,increase the speed of convergence and improve the locating accuracy of the filter in the airborne passive location,a novel measure space square root unscented Kalman filter was proposed which made full use of the automatic decoupling capability of measure space filtering and the good numerical stability as well as nonlinear filtering capability of square root unscented Kalman filter,and the minimal skew simplex unscented transformation was also used to improve the calculation ... |
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| Keywords: | airborne passive location measure space filtering square root unscented Kalman filter minimal skew simplex transformation |
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