Numerical evaluation on sub-Nyquist spectrum reconstruction methods

Zihang SONG; Han ZHANG; Sean FULLER; Andrew LAMBERT; Zhinong YING; Petri MAHONEN; Yonina ELDAR; Shuguang CUI; Mark D. PLUMBLEY; Clive PARINI; Arumugam NALLANATHAN; Yue GAO

doi:10.1007/s11704-023-2520-3

Front. Comput. Sci. ›› 2023, Vol. 17 ›› Issue (6) : 176504 DOI: 10.1007/s11704-023-2520-3

Networks and Communication

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Numerical evaluation on sub-Nyquist spectrum reconstruction methods

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Zihang SONG, Han ZHANG, Sean FULLER, Andrew LAMBERT, Zhinong YING, Petri MAHONEN, Yonina ELDAR, Shuguang CUI, Mark D. PLUMBLEY, Clive PARINI, Arumugam NALLANATHAN, Yue GAO. Numerical evaluation on sub-Nyquist spectrum reconstruction methods. Front. Comput. Sci., 2023, 17(6): 176504 DOI:10.1007/s11704-023-2520-3

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References

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[1]	Ahmad A, Ahmad S, Rehmani M H, Hassan N U. A survey on radio resource allocation in cognitive radio sensor networks. IEEE Communications Surveys & Tutorials, 2015, 17( 2): 888–917

[2]	Mitola J. Cognitive radio: an integrated agent architecture for software defined radio. KTH- Royal Institute of Technology, Dissertation, 2000

[3]	Liu R, Ma Y, Zhang X, Gao Y. Deep learning-based spectrum sensing in space-air-ground integrated networks. Journal of Communications and Information Networks, 2021, 6( 1): 82–90

[4]	Zhang H, Yang J, Gao Y. Machine learning empowered spectrum sensing under a sub-sampling framework. IEEE Transactions on Wireless Communications, 2022, 21( 10): 8205–8215

[5]	She Y, Shen J, Barbu A. Slow kill for big data learning. IEEE Transactions on Information Theory, 2023, 69( 9): 5936–5955

[6]	Ma Y, Zhang X, Gao Y. Joint sub-Nyquist spectrum sensing scheme with geolocation database over TV white space. IEEE Transactions on Vehicular Technology, 2018, 67( 5): 3998–4007

[7]	Wipf D P, Rao B D. An empirical Bayesian strategy for solving the simultaneous sparse approximation problem. IEEE Transactions on Signal Processing, 2007, 55( 7): 3704–3716

[8]	Yang L, Fang J, Duan H, Li H. Fast compressed power spectrum estimation: toward a practical solution for wideband spectrum sensing. IEEE Transactions on Wireless Communications, 2020, 19( 1): 520–532

[9]	Song Z, Qi H, Gao Y. Real-time multi-gigahertz sub-nyquist spectrum sensing system for mmWave. In: Proceedings of the 3rd ACM Workshop on Millimeter-wave Networks and Sensing Systems. 2019, 33−38