In order to determine the component of frequency hop, this paper taking the advantage of Compressive Sensing (CS) for sparse signal in frequency domain. Spectral kurosis is firstly calculated to identify peak locations which represent hopping frequency. Then the most optimal peaks are selected by applying Compressive Sensing Match Pursuit (CoSaMP) algorithm to overcome noise uncertainty. The hop time finally obtained from the residual between the given signal and the estimated one. The experiment results show that the system performs effectively even when SNR values are below -10dB, the presented approach can be effectively detect the hopping time. Compare to other conventional approaches, our proposed method is appropriate for lower and more widely varying SNR, reduces considerably the complexity.
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