摘要
抗欺骗干扰是电子对抗环境中雷达面临的一个重要问题。针对应答式欺骗干扰问题提出了一种基于信号脉内特征的目标与干扰的识别方法。首先对目标回波信号与干扰信号进行建模,分析了两类信号的脉内幅度特征,然后将目标与干扰看作是空间不同的模式类,利用目标回波信号和干扰信号的脉内幅度起伏差异,定义出分类的特征因子,最后采用径向基(RBF)神经网络进行分类。仿真结果表明,该方法在一定的信干比范围内具有较高的目标识别概率且受信干比影响较小,能够较好地抗应答式欺骗干扰。
Anti-deception-jamming is an important problem for radar in electronic countermeasure （ECM） environment. Considering answering deception-jamming, a method for target and jamming recognition based on intra-pulse feature of signal is proposed. First, target echo signals and jamming signals are modeled, and intra-pulse feature of the two kinds of signals are analyzed. Then targets and jammings are viewed as different patterns in space, and the differences of intra-pulse amplitude scintillation between echo signal of target and jamming signal are used to define feature factor for classification. Finally the RBF neural network is adopted to classify the target and jamming. The simulation results show that the method, which has high recognition probability of target and is little affected by SIR with certain range of SIR, performs well against answering deception-jamming.
出处
《雷达科学与技术》
2012年第5期481-485,491,共6页
Radar Science and Technology
关键词
抗欺骗干扰
脉内特征
特征提取
神经网络
anti-deception-jamming
intra-pulse feature
feature extraction
neural network
