과제정보
This work was supported in part by the science and technology breakthrough project of the Henan Science and Technology Department (No. 192102210249, 192102210116, and 212102210470), Key projects of colleges and universities in Henan Province (No. 19B510007 and 19A520006). It was also supported in part by the Science and Technology Development Plan of Henan Province (No. 202102310625).
참고문헌
- E. G. Larsson, O. Edfors, F. Tufvesson, and T. L. Marzetta, "Massive MIMO for next generation wireless systemsm" IEEE Communications Magazine, vol. 52, no. 2, pp. 186-195, 2014. https://doi.org/10.1109/MCOM.2014.6736761
- M. Pappa, C. Ramesh, and M. N. Kumar, "Performance comparison of massive MIMO and conventional MIMO using channel parameters," in Proceedings of 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, India, 2017, pp. 1808-1812.
- J. Lee, K. J. Choi, and K. S. Kim, "Massive MIMO full-duplex for high-efficiency next generation WLAN systems," in Proceedings of 2016 International Conference on Information and Communication Technology Convergence (ICTC), Jeju, Korea, 2016, pp. 1152-1154.
- W. U. Bajwa, A. Sayeed, and R. Nowak, "Sparse multipath channels: Modeling and estimation," in Proceedings of 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, Marco Island, FL, 2009, pp. 320-325.
- G. Gui, N. Liu, L. Xu, and F. Adachi, "Low-complexity large-scale multiple-input multiple-output channel estimation using affine combination of sparse least mean square filters," IET Communications, vol. 9, no. 17, pp. 2168-2175, 2015. https://doi.org/10.1049/iet-com.2014.0979
- S. Hou, Y. Wang, T. Zeng, and S. Wu, "Sparse channel estimation for spatial non-stationary massive MIMO channels," IEEE Communications Letters, vol. 24, no. 3, pp. 681-684, 2020. https://doi.org/10.1109/lcomm.2019.2961079
- X. Lv, Y. Li, Y. Wu, and H. Liang, "Kalman filter based recursive estimation of slowly fading sparse channel in impulsive noise environment for OFDM systems," IEEE Transactions on Vehicular Technology, vol. 69, no. 3, pp. 2828-2835, 2020. https://doi.org/10.1109/tvt.2020.2965005
- W. Zhang, T. Kim, and S. H. Leung, "A sequential subspace method for millimeter wave MIMO channel estimation," IEEE Transactions on Vehicular Technology, vol. 69, no. 5, pp. 5355-5368, 2020. https://doi.org/10.1109/tvt.2020.2983963
- Z. Gao, L. Dai, W. Dai, B. Shim, and Z. Wang, "Structured compressive sensing-based spatio-temporal joint channel estimation for FDD massive MIMO," IEEE Transactions on Communications, vol. 64, no. 2, pp. 601-617, 2016. https://doi.org/10.1109/TCOMM.2015.2508809
- W. Ding, F. Yang, W. Dai, and J. Song, "Time-frequency joint sparse channel estimation for MIMO-OFDM systems," IEEE Communications Letters, vol. 19, no. 1, pp. 58-61, 2015. https://doi.org/10.1109/LCOMM.2014.2372006
- J. Si, X. Hou, and Y. Cheng, "Joint multi-signal reconstruction based on block pruning multipath matching pursuit," Systems Engineering and Electronics, vol. 38, no. 9, pp. 1993-1999, 2016.
- Y. Zhang, R. Venkatesan, O. A. Dobre, and C. Li, "Efficient estimation and prediction for sparse time-varying underwater acoustic channels," IEEE Journal of Oceanic Engineering, vol. 45, no. 3, pp. 1112-1125, 2020. https://doi.org/10.1109/joe.2019.2911446
- P. P. Liu, L. I. Lei, and H. Y. Wang, "Research on greedy reconstruction algorithms of compressed sensing based on variable metric method," Journal on Communications, vol. 35, no. 12, pp. 98-105, 2014. https://doi.org/10.3969/j.issn.1000-436x.2014.12.012
- X. Zhu, Y. M. Li, and X. Q. Liu, "Impulse radio ultra-wideband signal detection based on compressive sensing," Journal of Microwaves, vol. 30, no. 5, pp. 76-81, 2014.
- X. Yu, H. Zheng, and Y. Zeng, "Adaptive weighting matching pursuit algorithm based on compressed sensing," Journal of Chongqing University of Posts and Telecommunication (Natural Science Edition), vol. 28, no. 5, pp. 707-712, 2016.
- M. F. Duarte and Y. C. Eldar, "Structured compressed sensing: from theory to applications," IEEE Transactions on Signal Processing, vol. 59, no. 9, pp. 4053-4085, 2011. https://doi.org/10.1109/TSP.2011.2161982