基于S方法熵测度优化的跳频信号参数估计

Parameter Estimation of Frequency-Hopping Signals Based on Entropy Measure Optimization of S Method

摘要: 提出一种S方法结合熵测度优化进行跳频信号参数估计的新方法.该方法在获取信号优化时频分布的基础上,基于时频平面设计参数估计算法,可以在不需要任何先验知识的情况下,估计出跳频周期、跳变时刻和跳频频率等参数.另外,在高斯噪声环境下对分析结果进行了仿真.结果表明,该方法对跳频信号的参数估计优于其他时频分析方法,减小了参数估计的偏差和估计方差,而且优化过程的复杂性也有所降低.

Abstract: A method for estimating the parameters of frequency-hopping(FH) signals was described based on entropy measure optimization of S method(SM).This method designs parameter estimation algorithm after obtaining optimal time frequency distribution,which the parameter of FH signals such as hop during,hop timing and hop frequencies can be estimated without any a priori knowledge.In addition,the analytical results were simulated under Gaussian noise conditions.The results shown that the deviation and va..