[1] HOYDIS J, BRINK S T, DEBBAH M. Massive MIMO in the UL/DL of cellular networks:how many antennas do we need?[J]. IEEE Journal on Selected Areas in Communications, 2013, 31(2):160-171. [2] 王玉鹏.基于压缩感知的MASSIVE MIMO系统中信道估计算法的研究[D].成都:电子科技大学,2015:1-2.(WANG Y P. Channel estimation of MASSIVE MIMO[D]. Chengdu:University of Electronic Science and Technology of China, 2015:1-2.) [3] NAN Y, ZHANG L, SUN X. Efficient downlink channel estimation scheme based on block-structured compressive sensing for TDD massive MU-MIMO systems[J]. IEEE Wireless Communications Letters, 2015, 4(4):345-348. [4] 谢建超.Massive MIMO通信系统中信道估计技术研究[D].南京:南京邮电大学,2016:44-51.(XIE J C. Research on channel estimation technology for massive MIMO communication system[D]. Nanjing:Nanjing University of Posts and Telecommunications, 2016:44-51.) [5] QI C, HUANG Y, JIN S, et al. Sparse channel estimation based on compressed sensing for massive MIMO systems[C]//Proceedings of the 2015 IEEE International Conference on Communications. Piscataway, NJ:IEEE, 2015:4558-4563. [6] LEE J, GIL G T, LEE Y H. Exploiting spatial sparsity for estimating channels of hybrid MIMO systems in millimeter wave communications[C]//Proceedings of the 2014 IEEE Global Communications Conference. Piscataway, NJ:IEEE, 2015:3326-3331. [7] TAN G, HERFET T. A framework of analyzing OMP-based channel estimations in mobile OFDM systems[J]. IEEE Wireless Communications Letters, 2016, 5(4):408-411. [8] 陈艳良,战荫伟.贪婪重构算法StOMP及其改进[J].计算机应用与软件,2016,33(4):258-261.(CHEN Y L, ZHAN Y W. Greedy reconstruction algorithm StOMP and its improvement[J]. Computer Applications and Software, 2016, 33(4):258-261.) [9] NGUYEN S L H, GHRAYEB A. Compressive sensing-based channel estimation for massive multiuser MIMO systems[C]//Proceedings of the 2013 IEEE Wireless Communications and Networking Conference. Piscataway, NJ:2013:2890-2895. [10] DAI L, GAO Z, WANG Z, et al. Spectrum-efficient superimposed pilot design based on structured compressive sensing for downlink large-scale MIMO systems[C]//Proceedings of the 2014 XXXIth URSI General Assembly and Scientific Symposium. Piscataway, NJ:IEEE, 2014:1-4. [11] 胡莹,冀保峰,黄永明,等.大规模MIMO OFDMA下行系统能效资源分配算法[J].通信学报,2015,36(7):40-47.(HU Y, JI B F, HUANG Y M, et al. Energy-efficient resource allocation algorithm for massive MIMO OFDMA downlink system[J]. Journal on Communications, 2015, 36(7):40-47.) [12] 杨真真,杨震,孙林慧.信号压缩重构的正交匹配追踪类算法综述[J].信号处理,2013,29(4):486-496.(YANG Z Z, YANG Z, SUN L H. A survey on orthogonal matching pursuit type algorithms for signal compression and reconstruction[J]. Signal Processing, 2013, 29(4):486-496.) [13] DONOHO D L, TSAIG Y, DRORI I, et al. Sparse solution of underdetermined systems of linear equations by stagewise orthogonal matching pursuit[J]. IEEE Transactions on Information Theory, 2012, 58(2):1094-1121. [14] 郎利影,王勇,白文庆,等.基于压缩感知CoSaMP算法的精确重构[J].计算机应用研究,2015,32(8):2554-2557.(LANG L Y, WANG Y, BAI W Q, et al. Accurate reconstruction of compressed sensing based on CoSaMP algorithm[J]. Application Research of Computers, 2015, 32(8):2554-2557.) [15] WANG X, NI L. Compressed sensing data reconstruction using a modified subspace pursuit algorithm under the condition of unknown sparsity[C]//Proceedings of the 20147th International Congress on Image and Signal Processing. Piscataway, NJ:IEEE, 2014:1125-1129. [16] WANG A, WANG Y, JIANG L. Improved sparse channel estimation for multi-user massive MIMO systems with compressive sensing[C]//Proceedings of the 2015 International Conference on Wireless Communications & Signal Processing. Piscataway, NJ:IEEE, 2015:1-5. |