摘要
针对目前的无源雷达系统中,多外辐射源相比单外辐射源性能增益估计不明确的问题,提出一种多星无源雷达目标检测性能增益的拟合方法。该算法通过广义似然比构造检测器,在噪声功率已知条件下构建了基于多颗卫星的目标检测算法模型,选择雷达反射截面积为20dBm2的场景计算检验概率,最终得出拟合曲线。仿真结果表明,在检验概率超过80%情况下相较于单星检测系统,双星系统能多处理约2.2dB,四星系统能达到4.5dB。同时通过曲线拟合,为后续的多星信号下的雷达检测性能估计提供一种简单的评估方式。
This paper proposes a fitting method for the performance gain of multi-satellite passive radar target detection.This algorithm constructs the detector through the generalized likelihood ratio,constructs the target detection algorithm model based on multiple satellites under the condition of known noise power,selects the radar reflection cross-section area of 20dBm2 to calculate the test probability,and finally obtains the fitting curve.Simulation results show that compared with the single-star detection system,the dual-star system can process about 2.6db more and the four-star system can reach 4.5db when the inspection probability exceeds 80%.
出处
《工业控制计算机》
2019年第7期68-69,共2页
Industrial Control Computer
