@inproceedings{12c4c218aa664d5298c3e24ffc55aeb6,
title = "Blind joint MIMO channel estimation and decoding",
abstract = "We propose a method for MIMO decoding when CSI is unknown to both the transmitter and receiver, which works when the underlying sources are drawn from a hypercubic space. Our proposed technique fits a minimum volume parallelepiped to the received samples. This problem can be expressed as a non-convex optimization problem that empirical results suggest can be solved with high probability by gradient descent. Our blind decoding algorithm can be used when communicating over unknown MIMO wireless channels using either BPSK or MPAM modulation. We apply our technique to jointly estimate MIMO channel gain matrices and decode the underlying transmissions with only knowledge of the transmitted constellation and without the use of pilot symbols. Empirical results show small sample size requirements, making this algorithm suitable for realistically encountered block-fading channels. Our approach has a loss of less than 3 dB compared to zero-forcing with perfect CSI, imposing a similar performance penalty as space-Time coding techniques with no loss of rate.",
keywords = "Blind source separation, MIMO, Multiuser detection, Optimization",
author = "Thomas Dean and Mary Wootters and Andrea Goldsmith",
note = "Funding Information: ACKNOWLEDGEMENTS The authors would like to thank Yonathan Morin for insightful conversation on MIMO decoding and channel estimation, and his comments on a preliminary version of this work, Mainak Chowdhury for discussion on non-coherent MIMO channels and optimization, and Milind Rao for discussion on optimization, blind source separation and statistical learning techniques. T. Dean is supported by the Fannie and John Hertz Foundation. This work was supported in part by the NSF Center for the Science of Information under grant NSF-CCF-0939370. Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Global Communications Conference, GLOBECOM 2017 ; Conference date: 04-12-2017 Through 08-12-2017",
year = "2017",
month = jul,
day = "1",
doi = "10.1109/GLOCOM.2017.8254157",
language = "English (US)",
series = "2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--6",
booktitle = "2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings",
address = "United States",
}