Abstract
When the frequency hopping signals are analyzed in time and frequency domain, the time of arithmetic operation by Short-time Fourier Transform (STFT) is short, but the estimation accuracy of hopping time is not high; Morlet wavelet transform algorithm is an accurate estimation algorithm but its complexity is so high that it spends a lot of time in calculating. Therefore, based on the study of the two algorithms, this paper proposes a composite algorithm for parameter estimation of hopping frequency signal. Firstly, the STFT algorithm is used to search the suspected region of the hopping time, and then the Morlet wavelet transform is used to find the time accurately. So, it can get the accurate estimation of the hopping time and frequency. Theoretical analysis and simulation results show the feasibility and effectiveness of the proposed algorithm.
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Zhang, BL., Lv, J., Li, JR. (2018). A Compound Algorithm for Parameter Estimation of Frequency Hopping Signal Based on STFT and Morlet Wavelet Transform. In: Huang, DS., Jo, KH., Zhang, XL. (eds) Intelligent Computing Theories and Application. ICIC 2018. Lecture Notes in Computer Science(), vol 10955. Springer, Cham. https://doi.org/10.1007/978-3-319-95933-7_22
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DOI: https://doi.org/10.1007/978-3-319-95933-7_22
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