| 单站无源定位MGEKF和MVEKF算法的分析比较 |
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| 引用本文： | 乔梁. 单站无源定位MGEKF和MVEKF算法的分析比较[J]. 重庆科技学院学报(自然科学版), 2006, 8(4): 81-83,87 |
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| 作者姓名： | 乔梁 |
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| 作者单位： | 广东金融学院,广州,510520 |
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| 摘 要： | 探讨了两种基于辐射源的信号的到达方向（DOA）及其变化率信息。提出了利用固定单站对机动目标进行无源定位与跟踪的新方法。在建立目标机动模型与测量方程的基础上，运用修正增益扩展卡尔曼滤波（MGEKF）和修正协方差的扩展卡尔曼滤波（MVEKF）算法，实现对机动目标进行定位与跟踪。通过计算机仿真，验证了该方法的正确性与有效性。
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| 关 键 词： | 单站无源定位 方位角 俯仰角 方位角变化率 |
| 文章编号： | 1673-1980（2006）04-0081-03 |
| 收稿时间： | 2006-06-05 |
| 修稿时间： | 2006-06-05 |
Comparison between MGEKF and MVEKF for Single Station Passive Location |
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| QIAO Liang. Comparison between MGEKF and MVEKF for Single Station Passive Location[J]. Journal of Chongqing University of Science and Technology:Natural Science Edition, 2006, 8(4): 81-83,87 |
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| Authors: | QIAO Liang |
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| Abstract: | The Modified Gain EKF(MGEKF)and Modified co Variance EKF,MVEKF algorithms for passive localization of maneuvering target by single station are discussed.Based on the Direction of Arrival(DOA) and its changing rate of the emitter,passive localization by single station is practicable,and also the localization of maneuvering target is practicable with the MGEKF and MVEKF algorithms.With the help of computer simulation,the method is proved to be correct and effective. |
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| Keywords: | single station passive location azimuth angle elevation angle azimuth angle changing rate |
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