@conference {736,
	title = {Flat Fading Channel Estimation Based on Dirty Paper Coding},
	booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
	year = {2014},
	address = {Florence, Italy},
	abstract = {<p>A novel complex flat fading channel estimation scheme is proposed. Contrarily to previous schemes in the literature, this new approach is not based on introducing pilot sequences, but on reducing the \&nbsp;interference caused by the information-bearing signal on the estimation-aiding signal by using Dirty Paper Coding. \&nbsp;We show through simulations that our method outperforms the \&nbsp;Partially-Data Dependent scheme, which is a state-of-the-art technique based on superimposed pilots.\&nbsp;</p>},
	keywords = {channel estimation, dirty paper coding, dynacs, superimposed pilots},
	doi = {10.1109/ICASSP.2014.6854852},
	author = {Gabriel Dom{\'\i}nguez-Conde and Pedro Comesa{\~n}a and Fernando P{\'e}rez-Gonz{\'a}lez}
}
