计算机技术、信息工程 |
|
|
|
|
基于深度学习的多载波系统信道估计与检测 |
汪周飞(),袁伟娜*() |
华东理工大学 信息科学与工程学院,上海 200237 |
|
Channel estimation and detection method for multicarrier system based on deep learning |
Zhou-fei WANG(),Wei-na YUAN*() |
School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China |
1 |
BEAULIEU F D, CHANMPAGNE B. Multicarrier modulation using perfect reconstruction DFT filter bank transceivers [C] // 2005 5th International Conference on Information Communications and Signal Processing. Bangkok: ICICS, 2005: 111-115.
|
2 |
VIHOLAINEN A, IHALAINEN T, RENFORS M. Performance of time-frequency localized and frequency selective filter banks in multicarrier systems [C] // 2006 IEEE International Symposium on Circuits and Systems. Island of Kos: IEEE, 2006: 1693494.
|
3 |
BEAULIEU F D. Multicarrier transceivers using DFT filter banks with perfect reconstruction [D]. Canada: McGill University, 2007.
|
4 |
MARTIN P M, BREGOVIC R, SARAMAKI R. An efficient approach for designing filter banks for multicarrier transmission [C] // 2008 IEEE International Symposium on Circuits and Systems. Seattle, WA: IEEE, 2008: 3206-3209.
|
5 |
BOROUJENY B F Filter bank spectrum sensing for cognitive radios[J]. IEEE Transactions on Signal Processing, 2008, 56 (5): 1801- 1811
doi: 10.1109/TSP.2007.911490
|
6 |
LELE C, LEGOUABL R, SIOHAN P. Channel estimation with scattered pilots in OFDM/OQAM [C] // 2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications. Recife: IEEE, 2008: 286-290.
|
7 |
陈孝武. 脉冲成形OFDM/OQAM系统关键技术研究[D]. 杭州: 浙江大学, 2015. CHEN Xiao-wu. Research on key technologies of pulse forming OFDM/OQAM system [D]. Hangzhou: Zhejiang University, 2015.
|
8 |
YE H, LI G Y, JUANG B Power of deep learning for channel estimation and signal detection in OFDM systems[J]. IEEE Wireless Communications Letters, 2018, 7 (1): 114- 117
doi: 10.1109/LWC.2017.2757490
|
9 |
YE H, LI G Y. Initial results on deep learning for joint channel equalization and decoding [C] // 2017 IEEE 86th Vehicular Technology Conference. Toronto: IEEE, 2017: 1-5.
|
10 |
CHENG X, LIU D, ZHU Z, et al. A ResNet-DNN based channel estimation and equalization scheme in FBMC/OQAM systems [C] // 2018 10th International Conference on Wireless Communications and Signal Processing. Hangzhou: WCSP, 2018: 1-5.
|
11 |
CAO Y, ZHAO Y. Text classification based on TextCNN for power grid user fault repairing information [C] // 2018 5th International Conference on Systems and Informatics. Nanjing: ICSAI, 2018: 1182-1187.
|
12 |
ZHANG C, ZHANG H, YUAN D, et al Citywide cellular traffic prediction based on densely connected convolutional neural networks[J]. IEEE Communications Letters, 2018, 22 (8): 1656- 1659
doi: 10.1109/LCOMM.2018.2841832
|
13 |
JAVAUDIN J P, LACROIX D, ROUXEL A. Pilot-aided channel estimation for OFDM/OQAM [C] // The IEEE 57th IEEE Semiannual Vehicular Technology Conference. South Korea: IEEE, 2003: 1581-1585.
|
14 |
LéLé C, LEGOUABLE R, SIOHAN P. Iterative scattered pilot channel estimation in OFDM/OQAM [C] // 2009 IEEE 10th Workshop Signal Process Advances in Wireless Communications. Perugia: IEEE, 2009: 176-180.
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|