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

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.

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 variance of estimation and the complexity of the optimization process has been lowered by the proposed method.