摘要
为了估计未知跳频信号的参数,提出一种基于时频脊线的跳频参数盲估计方法,根据跳频信号频率的瞬变特性,通过对跳频信号时频脊线的小波变换,可以准确估计跳周期,进而估计其它跳频参数.理论分析和仿真结果表明,该方法可以在低信噪比下以较低的运算复杂度实现高精度的参数估计,整体性能优于现有的跳频参数盲估计方法.
To estimate the parameters of unknown frequency-hopping(FH) signals,a blind parameters estimation method for FH signals based on time-frequency distribution maxima is proposed.Due to the transient frequencies of FH signals,the hop period can be estimated accurately via the wavelet transform of the time-frequency distribution maxima of a FH signal.The switching time instants and the hopping frequencies can be estimated accordingly.The theoretical analysis and simulation result show that the method can accurately estimate the parameters of FH signals with a low computational complexity.The performance of this method is superior to the current existing method.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2011年第12期2921-2925,共5页
Acta Electronica Sinica
基金
国家自然科学基金(No.60672132
No.60872149)
关键词
跳频信号
时频脊线
小波变换
frequency-hopping signals
time-frequency distribution maxima
wavelet transform