相关杂波背景下反辐射导弹的Rao检测方法  

Rao detection of ARM under the background of correlated clutter

作　　者：方前学[1,2] 王永良[3] 王首勇[2] 

机构地区：[1]国防科技大学电子科学与工程学院,湖南长沙410073 [2]空军雷达学院重点实验室,湖北武汉430019 [3]空军雷达学院科研部,湖北武汉430019

出　　处：《系统工程与电子技术》2009年第4期830-833,共4页Systems Engineering and Electronics

摘　　要：针对反辐射导弹(ARM)及其载机回波信号的不同特性,提出了一种抑制载机信号的方法。首先估计载机信号的多普勒频率,然后依据频率估计值对延时信号进行相位补偿,再与原信号相减来抑制载机信号。在抑制载机信号后,基于自回归(AR)模型分布的相关杂波假设,导出了ARM检测的Rao检测统计量。Rao检测方法的渐近性能与广义似然比检测(GLRT)相当,但结构更简单、更易于实现。仿真结果表明,所提方法可以有效地抑制强载机信号,实现弱ARM目标信号的检测。Aiming at the different signal characteristics of the anti-radiation missile （ARM） and its aircraft, an improved method is proposed to restrain the aircraft signal. Firstly the aircraft signal＇s Doppler frequency is estimated, then the phase of the delay signal is compensated with the estimation, lastly the aircraft signal is re- strained when the delay signal is subtracted from the original signal. After restraining the aircraft signal, based on the assumption of autoregressive （AR） process correlated clutter, the paper presents the Rao decision rule of the ARM detection. The Rao test algorithm is practicable and almost has the same performance as that of the generalized likelihood ratio test （GLRT）. Simulation results show that the proposed method can restrain the strong aircraft signal and detect the weak ARM target signal availably.

关 键 词：反辐射导弹检测 抑制载机 AR模型 Rao检测 

分 类 号：TN95[电子电信—信号与信息处理]