| 机载单站无源定位三维模型及其仿真 |
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| 引用本文： | 周春阳,周国标.机载单站无源定位三维模型及其仿真[J].上海航天,2005,22(3):1-6. |
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| 作者姓名： | 周春阳 周国标 |
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| 作者单位： | 上海交通大学,数学系,上海,200240 |
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| 摘 要： | 针对在空间作匀速直线运动的目标，建立了机载单站无源定位的三维模型。给出了其中的预处理过程和系统状态方程，并采用UKF算法进行滤波处理以提高定位精度。仿真结果表明，模型和算法有效。与扩展卡尔曼滤波(EKF)相比，在初始误差较大时UKF也能快速收敛。
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| 关 键 词： | 相位差变化率 单站无源定位 UKF 扩展卡尔曼滤波 |
| 文章编号： | 1006-1630(2005)03-0001-06 |
| 修稿时间： | 2004年10月15 |
Modeling and Simulating for Single Observer Passive Location with Airborne Sensor |
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| ZHOU Chun-yang,ZHOU Guo-biao.Modeling and Simulating for Single Observer Passive Location with Airborne Sensor[J].Aerospace Shanghai,2005,22(3):1-6. |
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| Authors: | ZHOU Chun-yang ZHOU Guo-biao |
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| Abstract: | The 3-D dimension model of single observer passive location with airbone sensor was set up for the target moving in straight line in space. The pre-processing and system state equations were given. The positioning accuracy was improved by filter using unscented Kalman filter (UKF) algorithm. The simulation results showed that the model and algorithm were effective. Comparison to the extended Kalman filter, when the origin error was large, the UKF would reach convergence quickly. |
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| Keywords: | Phase rate of change Single observer passive location Unscented Kalman filter Extended Kalman filter |
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