| 一种基于方位时延的水下被动目标运动分析算法研究 |
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| 引用本文： | 刘忠,刘健,颜冰.一种基于方位时延的水下被动目标运动分析算法研究[J].海军工程大学学报,2005,17(2):33-38. |
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| 作者姓名： | 刘忠 刘健 颜冰 |
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| 作者单位： | 海军工程大学,兵器工程系,湖北,武汉,430033 |
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| 摘 要： | 设计了一种新型的水下被动目标运动分析系统.以测得的方位序列和到达不同传感器的时间差为基础,建立了状态方程和观测方程,运用扩展卡尔曼滤波算法,对系统进行了分析.通过蒙特卡罗模拟仿真实验结果表明,此算法具有收敛速度快、精度高、稳定性好等优点,有着良好的实际应用前景.
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| 关 键 词： | 目标运动分析(TMA) 方位 时延 扩展卡尔曼滤波(EKF) |
| 文章编号： | 1009-3486(2005)02-0033-06 |
| 修稿时间： | 2004年10月27 |
Research of underwater passive target motion analysis algorithm using both bearing and time-delay measurements |
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| LIU Zhong,LIU Jian,YAN Bing.Research of underwater passive target motion analysis algorithm using both bearing and time-delay measurements[J].Journal of Naval University of Engineering,2005,17(2):33-38. |
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| Authors: | LIU Zhong LIU Jian YAN Bing |
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| Abstract: | A new underwater system of passive target motion analysis (TMA) is designed. The state equation and measurement equation are established and analyzed systemically by extended Kalman filter (EKF) based on the measurements of both bearings and time-delay that are collected by the two different sensors. The Monte Carlo simulation experiment results demonstrate that the algorithm has some advantages of fast convergence, high precision and stability. So the system and algorithm has a bright practice application future. |
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| Keywords: | target motion analysis(TMA) bearing time-delay extended Kalman filter(EKF) |
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