基于时频稀疏性的跳频信号时频图修正方法

为了获取清晰的时频图，提出了一种基于时频稀疏性的跳频信号时频图修正方法。该方法根据跳频信号时频图的时频稀疏性，建立了修正时频图的最优化求解模型，然后利用匹配搜索的方法进行求解得到修正后清晰的时频图。仿真结果表明本文方法能够在低信噪比下获取精确的时频图，且用修正后的时频图估计跳周期，估计性能明显优于现有方法。

A Modification Method for Time Frequency Pattern of Frequency Hopping Signals Based on Time Frequency Sparsity

To get clear time frequency pattern, a novel modification method is developed based on TF sparsity of FH signals. First, an optimization problem model is established to estimate the TF pattern, according to the dual TF sparsity of FH signals. Then matching search method is developed to obtain the solution of the optimization problem, and the clear spectrogram is obtained finally. Simulation results show that the proposed method is capable of getting clear time frequency pattern. The performance of this method is superior to the current existing methods for estimating hopping period.