基于自适应滤波和AR模型的ARM检测技术  

ARM Detection Technique Based on Adaptive Prediction Error Filter and AR Model

作　　者：谷国栋[1] 张永顺[1] 

机构地区：[1]空军工程大学导弹学院,陕西三原713800

出　　处：《无线电工程》2009年第3期26-27,64,共3页Radio Engineering

摘　　要：根据反辐射导弹(ARM)的加速度明显的特征,可以应用AR模型来检测ARM。但在载机信号与ARM信号功率比过高时,也不能将ARM信号有效的检测出来。针对这种情况,提出一种基于自适应线性滤波和AR模型的反辐射导弹检测技术,首先利用自适应线性预测滤波法对雷达回波在时域进行载机信号抑制,然后用AR模型进行功率谱估计。仿真结果表明,该方法能够将微弱的ARM信号准确的检测出来,从而实现实时告警。According to the characteristic of acceleration of Anti-Ratar-Missile（ARM）,ARM can be detected by AR model.But when the ratio of airborne signal to ARM signal is exorbitant,ARM can not be detected.A new method for ARM detection based on adaptive linear prediction error filter and AR model is proposed in this paper.The simulation results show that an accurate detection of weak ARM signal can be achieved,so that a reliable early warning can be given.

关 键 词：信号检测 反辐射导弹 AR模型 线性预测滤波器 

分 类 号：TN957.51[电子电信—信号与信息处理]