| 基于UKF的目标状态与系统偏差的联合估计算法 |
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| 引用本文： | 宋强,何友,杨俭. 基于UKF的目标状态与系统偏差的联合估计算法[J]. 弹箭与制导学报, 2007, 27(3): 311-313,316 |
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| 作者姓名： | 宋强 何友 杨俭 |
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| 作者单位： | 1. 海军航空工程学院信息融合技术研究所,山东烟台,264001
2. 空军工程大学工程学院,西安,710038 |
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| 基金项目： | 国家自然科学基金资助（60172033,60541001）;全国优秀博士学位论文专项资金资助 （200443） |
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| 摘 要： | 研究了三维系统偏差条件下的扩维目标跟踪问题,提出了一种基于不敏卡尔曼滤波器（UKF）的系统偏差和目标状态的联合估计算法（ASUKF）.Monte-Carlo仿真结果表明,ASUKF算法较好地避免了扩展卡尔曼滤波器的模型线性化误差易导致滤波发散的问题,能更加有效地对目标状态和系统偏差进行实时联合估计.
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| 关 键 词： | 雷达组网 目标跟踪 误差配准 不敏卡尔曼滤波 |
| 收稿时间： | 2006-09-11 |
| 修稿时间： | 2006-09-112006-11-06 |
An Augmented State Target Tracking Algorithm with Systematic Errors Based on the Unscented Kalman Filter |
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| SONG Qiang,HE You,YANG Jian. An Augmented State Target Tracking Algorithm with Systematic Errors Based on the Unscented Kalman Filter[J]. Journal of Projectiles Rockets Missiles and Guidance, 2007, 27(3): 311-313,316 |
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| Authors: | SONG Qiang HE You YANG Jian |
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| Abstract: | The problem that how to track a three-dimensional target with systematic errors is researched in this paper. Using the unscented Kalman filter, an augmented state unscented Kalman filter tracking algorithm is proposed. The simulation results show that the given algorithm does not require the linearization of the model, and can estimate efficiently. |
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| Keywords: | radar networking target tracking error alignment unscented Kalman filter |
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