基于模糊函数的无线电引信信号参数提取

摘要

In order to solve the problem that prior information is required to extract parameters of LFMCW fuze sig-nals, a method of parameter extraction based on time-frequency analysis of periodic ambiguity function is proposed. Firstly, two-dimensional autocorrelation transformation is done for the detective signal and the periodic ambiguity func-tion characteristic of LFMCW fuze signal is analyzed. Then according to the characteristic of LFMCW fuze signal, the characteristic parameter is extracted based on periodic ambiguity function. The simulation results show that the frequen-cy modulation characteristic of LFMCW signal can be detected effectively and parameters can be estimated accurately. This method which needs no prior information has good anti-noise ability.%针对连续波线性调频(LFMCW)引信信号特征参数提取需要先验信息的问题,提出了基于周期模糊函数图提取信号特征参数的方法.该方法首先对侦察接收到的信号作二维自相关变换,分析LFMCW引信信号的周期模糊函数特征,然后结合LFMCW引信信号本身的特性,在相关域提取LFMCW引信信号的特征参数.仿真分析表明:该算法不依赖任何先验信息,即能有效地检测出信号的调频特征和较准确地估计出信号的特征参数,且具有较好的抗噪声能力.