基于动态RCS的隐身目标检测研究

    A Study on Detection of Stealth Target Based on Dynamic RCS

    • 摘要: 针对基于RCS统计模型的目标检测研究在复杂航迹下的局限性,提出了一种直接利用RCS原始数据计算发现概率的新方法。首先,针对某典型隐身目标,利用FEKO获取了其在平飞和水平拐弯两种机动航迹下的RCS数据,经统计处理后与卡方分布模型拟合论证了模型拟合在复杂航迹下的局限。其次,根据目标RCS与回波幅度之间的转化关系式,推导得出同时包含距离量和RCS随机量的检测概率计算模型。最后,利用获取的RCS原始数据仿真了机动目标在两种航迹下任意时刻的发现概率。仿真结果反映了距离与目标RCS共同影响检测概率的实际,方法可为雷达与隐身目标模拟对抗提供理论支持,为提高雷达检测性能和技战术指标提供支撑。

       

      Abstract: Aimed at the limit of traditional target detection research based on RCS statistical model, a new method of calculation on detection probability based on primitive RCS data has been proposed. Firstly, two sets of RCS data under tracks of level flight and level swerve maneuver are obtained by FEKO. And then they are fitted with Chi-2 distribution to validate the problem of model fitting after dealt with statistical analysis. Secondly, a new detection probability calculation model containing both distance and RCS is gained via deduction between RCS and echo range. Finally, the detection probability of mobile target at random time under the established two tracks is simulated utilizing the obtained RCS data. The result indicates the reality that distance and RCS influence detection probability together. The method proposed can offer theory support on simulative confront between radar and stealth target and improve radar’s detection performance and tactical indexes.

       

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