@inproceedings{81e8a58b6a3b4012a69fc026eac8d428,
title = "Multiple Antenna Wireless Communication Signal Blind Recovery Based on PARAFAC Decomposition",
abstract = "Multiple antenna signals in wireless communication system form into a kind of multiple dimension array signal from the view of time, frequency and space factors which can be modelled and processed by tensor analysis method. This paper focuses on the application of PARAFAC-based tensor decomposition method in solving the problem of signal blind recovery in MIMO-OFDM wireless communication system. The received signal of MIMO-OFDM system can be viewed as a multidimensional array. PARAFAC decomposition is applied for blind recovery of the received signal with unknown CSI (Channel State Information) and CFO (Carrier Frequency Offset). Simulation results show that the proposed scheme performs better under high SNR and small symbol collection, which turns out to verify the blind recovery method based on the PARAFAC decomposition.",
keywords = "PARAFAC decomposition, blind recovery, multiple antenna, wireless communication",
author = "Weiming Yi and Zuo Wang and Jing Wang",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; International Conference on Network and Information Systems for Computers, ICNISC 2015 ; Conference date: 23-01-2015 Through 25-01-2015",
year = "2015",
month = oct,
day = "28",
doi = "10.1109/ICNISC.2015.13",
language = "English",
series = "Proceedings - 2015 International Conference on Network and Information Systems for Computers, ICNISC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "137--140",
editor = "Hongzhi Wang and Zhihong Qian",
booktitle = "Proceedings - 2015 International Conference on Network and Information Systems for Computers, ICNISC 2015",
address = "United States",
}