基于频率微分属性的跳频信号参数估计
Parameter Estimation of Frequency Hopping Signals Based on Frequency Differential Property
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摘要: 提出了一种基于跳频频率变化微分属性,能够估计跳周期、跳变时刻和跳频频率的特征参数方法.与传统平滑伪维格纳分布最大值序列算法相比,该方法增强了跳变时刻信号检测的可靠性,提高了参数估计的精度.仿真结果和性能分析表明了算法的有效性和实用性.Abstract: A method for the characteristic parameter estimation of the frequency-hopping signals jump cycle,transition time,and frequency was described based on the differential nature of frequency-hopping.Compared to the traditional maximum smoothed pseudo Wigner-Ville distribution,the proposed method has high accuracy of parameter estimation and reliability of detection at transition time.The validation of the proposed method was demonstrated in the simulation results and performance analysis