Abstract
It is difficult to analyze and detect wideband Chirp interference signals, since the existing algorithms are constrained by hardware performance. Aiming at this problem, an anti-interference communication algorithm based on wideband spectrum sensing is proposed. Firstly, the signal is represented as sparse signal by discrete fractional Fourier transform (DFRFT), and Gaussian observation matrix is applied to measure the sparse signal. Then, the signal reconstruction is realized under the Bayesian framework. Finally, the frequency domain information entropy is utilized to make spectrum judgment of the signal, and non-interference frequency band is used for communication, so as to ensure safe and reliable transmission of information. The simulation results demonstrate that, in the case of less measurement data and low signal-to-noise ratio (SNR), the proposed algorithm achieves higher accuracy of signal reconstruction and better detection performance compared with the Bayes compressive sensing energy detection algorithm.
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Acknowledgements
This work was supported in part by General Project of Domain Fund under Grant 61403110308.
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Liu, M., Liu, C., Zhang, R., Ding, Y. (2020). Anti-interference Communication Algorithm Based on Wideband Spectrum Sensing. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_34
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DOI: https://doi.org/10.1007/978-981-13-9409-6_34
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