| 固定站无源目标跟踪简化UKF算法仿真研究 |
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| 引用本文： | 曲长文,徐征,李炳荣,苏峰. 固定站无源目标跟踪简化UKF算法仿真研究[J]. 系统仿真学报, 2012, 24(8): 1655-1659,1664 |
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| 作者姓名： | 曲长文 徐征 李炳荣 苏峰 |
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| 作者单位： | 1. 航空电子系统综合技术重点实验室,上海200233／海军航空工程学院电子信息工程系,烟台264001
2. 海军航空工程学院电子信息工程系,烟台,264001 |
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| 基金项目： | 航空科学基金(20105584004) |
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| 摘 要： | 与EKF类算法相比,基于不敏变换(UT)的不敏卡尔曼滤波(UKF)算法因为不存在线性化误差从而具有更好的性能,不过存在运算量较大的问题。建立了具有线性状态方程的固定单站无源目标跟踪模型,以此为研究背景在满足L+λa=nx+λ=常数的情况下由扩维UKF算法推导出了简化UKF算法并进行了仿真分析。仿真结果表明在满足推导条件时简化UKF算法可以在降低运算量的同时保持和扩维UKF同样的定位性能,具有较强的实用性。
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| 关 键 词： | 无源跟踪 不敏变换 扩维UKF 简化UKF 仿真 |
Research on Simplified UKF Algorithm for Fixed Observer Passive Tracking |
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| QU Chang-wen,XU Zheng,LI Bing-rong,SU Feng. Research on Simplified UKF Algorithm for Fixed Observer Passive Tracking[J]. Journal of System Simulation, 2012, 24(8): 1655-1659,1664 |
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| Authors: | QU Chang-wen XU Zheng LI Bing-rong SU Feng |
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| Affiliation: | 1.Science and Technology on Avionics Integration Laboratory,Shanghai 200233,China; 2.Department of Electronic and Information Engineering,Naval Aeronautical and Astronautical University,Yantai 264001,China) |
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| Abstract: | The unscented transform(UT) based unscented Kalman filter(UKF) algorithm has better performance compared with the EKF algorithm because it doesn’t exist linearization error while suffering a computation problem.Considering the single non-moving observer passive location and tracking system with a linear process equation as research ground,the simplified UKF algorithm was derived from the augmented UKF under the condition of L+λa=nx+λ=constant and the performance analysis was made.Simulation results indicate that the simplified UKF algorithm can keep the same performance as the augmented UKF algorithm while reducing the computation. |
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| Keywords: | passive tracking UT augmented UKF simplified UKF simulation |
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