基于目标发现概率的雷达补盲方法
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中国博士后科学基金(2022M713845);军事类研究生资助课题(JYKT910262023002)


Blind Area Filling Method for Radar Detection Based on Target Discovery Probability
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    摘要:

    针对部分地区单部雷达掌握跟踪空中目标时掌握时间短以及目标飞行过程中目标散射截面积(radar cross section,RCS)动态特性导致发现概率变化等问题,提出一种雷达补盲部署位置计算方法。对隐身目标RCS与发现概率的关系进行讨论分析,建立单部预警装备的雷达补盲部署模型,利用粒子群算法计算得出最佳部署位置。仿真结果表明:该方法使雷达网对目标的掌握能力得到较大提升,有效保证对隐身目标的掌握和跟踪的连续性。

    Abstract:

    In some areas, single radar has a short time to track an aerial target, and the dynamic characteristics of radar cross section (RCS) of the target cause the change of detection probability during the flight of the target. In order to solve these problems, a method for calculating the position of radar blind compensation is proposed. The relationship between stealth target RCS and detection probability is discussed and analyzed, and the blind compensation deployment model of single early warning equipment is established, and the optimal deployment position is calculated by particle swarm optimization algorithm. The simulation results show that the method greatly improves the ability of the radar network to grasp the target, and effectively ensures the continuity of grasping and tracking the stealth target.

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引用本文

魏维斌.基于目标发现概率的雷达补盲方法[J].,2026,45(09).

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  • 收稿日期:2025-01-09
  • 最后修改日期:2025-02-26
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  • 在线发布日期: 2026-09-28
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