模糊函数的快速计算

Fast computation of ambiguity function

模糊函数是研究雷达信号的主要数学工具,在有些情况下,由于信号序列比较长,此时如果直接按照定义计算信号的模糊函数,计算量太大,无法达到实时性要求。本文在其正型定义的基础上,提出了两种利用快速傅里叶变换的快速计算模糊函数的方法,分析了它们的计算量,并与按照定义直接计算的计算量进行了比较。理论和仿真结果均表明,本文的方法在处理大量数据的时候能大幅减少计算量。

Since the ambiguity function is an important and common tool used to analyze signals in radar applications, two methods are developed, based on the definition of ambiguity function, to lower the burden of computation of ambiguity function. The simulation result and the theory both imply that these methods can highly increase computational efficiency when there are massive samples of input signals.