基于QMFBT的LFMCW引信信号识别  

Recognition of LFMCW Fuze Signal Based on QMFBT

作　　者：刘静[1] 赵惠昌[1] 高振儒[1,2] 

机构地区：[1]南京理工大学电子工程与光电技术学院,江苏南京210094 [2]解放军理工大学工程兵工程学院,江苏南京210018

出　　处：《南京理工大学学报》2011年第1期97-101,共5页Journal of Nanjing University of Science and Technology

基　　金：国家部委基金;江苏省普通高校研究生科研创新计划项目(AD20328)

摘　　要：针对连续波线性调频(Linear frequency modulation continuous wave,LFMCW)引信信号特征参数的提取,提出了基于树形正交镜像滤波器组(Quadrature mirror filter bank tree,QMFBT)线性分解技术提取信号特征参数的方法。该方法将截获的LFMCW引信信号进行下变频,经离散化和归一化后输入到QMFBT中进行线性分解,分析不同时频分析层面所包含的信号信息,结合引信实时性要求和信号本身特征,在合适的时频分析层面提取LFMCW引信信号的特征参数。仿真分析表明,该方法不需要任何先验信息即能有效地提取LFMCW引信信号的调制信息和特征参数,具有较强的抗噪声能力,而且不存在双线性变换中的交叉项问题,满足引信信号识别实时性的要求。To extract feature parameters of the fuze signal of linear frequency modulation continuous wave（LFMCW）,the linear decomposition technique using quadrature mirror filter bank tree（QMFBT）is adopted.With this method,the intercept signal is sampled and the discrete normalized sequence is then decomposed by QMFBT to analyze the signal character contained in different time-frequency layers.According to the fuze real-time requirements and the signal characteristics,the algorithm of the feature parameter extraction on an appropriate time-frequency layer is presented.Simulation results show that the modulation characteristics of LFMCW can be detected effectively without any prior information,and parameters can be estimated accurately in a low SNR condition.The cross terms from the non-linear transformation are eliminated and the real-time requirements are also satisfied.

关 键 词：电子对抗 信号侦察 正交镜像滤波器组 线性调频 

分 类 号：TJ434.1[兵器科学与技术—火炮、自动武器与弹药工程]