@inproceedings{
 title = {A frequency-domain approach to wideband channel estimation in millimeter wave systems},
 type = {inproceedings},
 year = {2017},
 identifiers = {[object Object]},
 keywords = {Wideband channel estimation,hybrid architecture,millimeter wave MIMO},
 id = {4683aac4-abe2-3df8-8319-ca16e1a29245},
 created = {2017-12-16T11:30:21.612Z},
 file_attached = {false},
 profile_id = {be62f108-1255-3a2e-9f9e-f751a39b8a03},
 last_modified = {2017-12-16T11:30:21.612Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {true},
 abstract = {© 2017 IEEE. Channel estimation allows millimeter wave (mmWave) MIMO communication systems to design pre-coders and combiners under different objective functions. Hybrid MIMO architectures provide a good trade-off power consumption-performance at mmWave frequencies, but most of the prior work on channel estimation for these structures assumes a narrowband channel model. In this paper, we propose a sparse approach for frequency selective channel estimation for mmWave channels, assuming a hybrid architecture. Simulation results show that the estimation error is small and the computational complexity is kept low. Moreover, the algorithm requires less training overhead than competing approaches based on beam training.},
 bibtype = {inproceedings},
 author = {Rodriguez-Fernandez, J. and Venugopal, K. and Gonzalez-Prelcic, N. and Heath, R.W.},
 booktitle = {IEEE International Conference on Communications}
}

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