机场站坪区域中多点定位系统检测率的提升
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国家自然科学基金民航联合基金资助项目(U1733109)

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A method to improve the detection rate of Multilateration system in airport apron
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    摘要:

    针对机场站坪区域内目标信号高检测率的需求,基于S模式信号时域波形特点,分析了传统目标检测法,提出一种增加下降沿判决的S模式信号检测法。进一步利用遗传算法对接收性能良好的站点进行组合,实现检测率的提升。与常用S模式信号目标检测法相比,基于改进方法得到的接收站组合能够获得更高的系统检测率,仅使用9个接收站可实现目标区域能计算目标位置概率不小于99.9%的要求。三维电磁传播模型仿真结果验证了所得结论的有效性。

    Abstract:

    Aiming at the requirement of high detection rate of target signal in the airport apron, the traditional target detection method is analyzed, and a mode S signal detection method with increasing falling edge decision is proposed. Furthermore, Genetic Algorithm is utilized to combine the stations with good reception performance to improve the detection rate. Compared with the common mode S signal target detection method, the receiver combination based on the improved method can obtain higher system detection rate. It can meet the requirement that the target area can calculate the target position in a probability not less than 99.9% with only 9 receiving stations. The simulation results of three-dimensional electromagnetic propagation model verify the effectiveness of the conclusion.

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曾丽丽,陈梦娇,徐自励,华 伟.机场站坪区域中多点定位系统检测率的提升[J].太赫兹科学与电子信息学报,2021,19(3):391~397

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  • 收稿日期:2020-12-07
  • 最后修改日期:2021-02-04
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  • 在线发布日期: 2021-07-02
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