基于拟合优度检验的灵巧噪声干扰识别

摘要

On the purpose of soling the shortcoming that traditional anti-jamming methods cannot effectively cope with smart noise,an identification method of smart noise based on goodness-of-fit (GOF) is proposed.The differences of distribution characteristics between target signal obtained from the Swerling model and interference signal obtained from the process of smart noise are analyzed.By calculating AD statistic and using the theory of GOF,the interference and targets are identified.The simulation analyzes the power of the test under different conditions.The results show that this method can work in the situation of low signal to interference ratio.%针对传统抗干扰方法无法有效对抗灵巧噪声干扰的缺陷,提出了一种基于拟合优度检验实现灵巧噪声干扰识别的方法.分别根据Swerling起伏模型得到的目标信号分布特性、从灵巧噪声干扰产生过程得到的干扰信号分布特性,分析了目标位置信号与干扰位置信号分布特性差异,提出利用拟合优度检验理论实现干扰识别.该方法计算AD检验统计量,在一定显著性水平下对若干周期同一时刻的样本进行假设检验,根据检验的结果进行干扰识别.仿真实验表明,该方法能有效地对低信干比情况下的目标进行识别.