@inproceedings{
 title = {Channel estimation in mixed hybrid-low resolution MIMO architectures for mmWave communication},
 type = {inproceedings},
 year = {2017},
 identifiers = {[object Object]},
 keywords = {Channel estimation,hybrid architecture,millimeter wave MIMO},
 id = {aadc3f16-0b60-32e8-b800-8f92370a823a},
 created = {2018-02-27T10:39:59.555Z},
 file_attached = {false},
 profile_id = {be62f108-1255-3a2e-9f9e-f751a39b8a03},
 last_modified = {2018-02-27T10:39:59.555Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {true},
 abstract = {© 2016 IEEE. Mixed hybrid-low resolution MIMO architectures reduce both the number of ADCs and their resolution to reduce power consumption. In such a system, the received signal suffers from two compression stages. One is due to the analog processing stage and the reduced number of RF chains, while the other is a result of signal quantization by the ADC converters. The compression steps both complicate the estimation of the MIMO channel. In this paper we propose a compressive channel estimator that exploits the sparse structure of the millimeter wave channel to compensate for the loss of information inherent to the proposed architecture.},
 bibtype = {inproceedings},
 author = {Rodriguez-Fernandez, J. and Gonzalez-Prelcic, N. and Heath, R.W.},
 booktitle = {Conference Record - Asilomar Conference on Signals, Systems and Computers}
}

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