基于压缩感知的跳频信号参数估计

Parameter estimation of frequency hopping signals based on compressed sensing

为解决跳频信号侦察中高带宽带来的高采样率和海量数据处理问题,将压缩感知理论应用于跳频信号参数估计。根据跳频信号的时频特征,构建以加窗正弦函数为基函数的3-参数稀疏字典;在此基础上,提出一种带预处理过程的正交匹配追踪算法,从压缩测量值中获取跳频信号跳周期、跳变时刻以及跳频频率的估计值。仿真结果表明,该方法能够显著减少信号采样数据量和算法计算量,保持较高参数估计精度。

To deal with the issue of high sampling rate and massive data processing caused by large band of frequency hopping（FH）signals in communication reconnaissance,compressed sensing was applied to parameter estimation of FH signals.According to the time-frequency of FH signals,the three-parameter sparse dictionary was constructed based on the unit windowed sine function.On the basis of these,the orthogonal matching pursuit algorithm with pretreatment was proposed,the estimations of hop duration,hop timing and hopping frequency of FH signals were obtained from compressive measurements.Results of simulation show that the proposed method can reduce the amount of signal sampling data and the calculation complexity of algorithm,and it produces accurate estimation.