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Erschienen in:
2015 | OriginalPaper | Buchkapitel
A Compressive Sensing Detection Approach Based on Spectral Kurtosis for Frequency Hopping Signal
verfasst von : Chenlin Hu, Jin Young Kim, Hyoung-Gook Kim, Chang-Joo Kim
Erschienen in: Mobile and Wireless Technology 2015
Verlag: Springer Berlin Heidelberg
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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.