基于相位差的机载单站无源定位算法
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国家科技支撑计划资助项目(2011BAH24B06)

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An algorithm research for air-borne single observer passive locating based on phase difference
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    摘要:

    机载无源定位是电子侦察中的一项重要任务。针对实际工程特点,提出了一种鲁棒的基于相位差测量的机载单站无源定位算法。通过测量目标信号的方位角和相位差,利用卡尔曼滤波模型计算相位差变化率并对目标进行测距定位,最后将多次的定位结果进行交互多模滤波融合,实现对目标的高精确度定位。给出了计算相位差变化率的滤波模型、目标定位算法,以及交互多模滤波的融合定位过程。仿真实验中采用STK仿真软件生成机载平台的位置数据和目标信号入射方位角及相位差数据,分析了目标定位的效果及性能。最后给出了一些工程实践性的建议,具有一定的工程参考意义。

    Abstract:

    Single observer passive locating is an important task for air reconnaissance. A robust algorithm for air-borne single observer passive locating based on phase difference is proposed in this paper. The target location can be worked out by using the Kalman filter model based on the azimuth angle of target signal and the phase changing difference at the same time. The Kalman filter model for calculating the phase difference rate of change is presented. And the Interaction Multiple Model(IMM) filter model is also given for raising the precision of target locating algorithm. In the experiment, the STK software is utilized for generating the platform position data, the signal azimuth data and the phase changing difference. In addition, the target locating result and the performance are also analyzed. Finally, several constructive suggestions are made for practical engineering applications.

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田明辉,马 敏.基于相位差的机载单站无源定位算法[J].太赫兹科学与电子信息学报,2016,14(2):190~194

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  • 收稿日期:2014-11-07
  • 最后修改日期:2015-02-28
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  • 在线发布日期: 2016-05-16
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