%0 Conference Paper %1 positioning_2 %A Widmaier, M. %A Arnold, M. %A Dörner, S. %A Cammerer, S. %A ten Brink, S. %B 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) %D 2019 %K extractor;Artificial multiple-output myown from:sdnr (artificial communication;neural nets;telecommunication system;neural extraction arrays;Feature structure;phase measurements;Training;Antenna radio;learning system;user intelligence);MIMO acquisition;feature NN localization communication;indoor neural data networks;channel branch;indoor extraction;indoor systems;indoor scenarios;recall positioning MIMO accuracy;training networks;Antenna information;multiple-input state system;IPS computing;massive task;tailored communication %P 1-6 %R 10.1109/VTCFall.2019.8891273 %T Towards Practical Indoor Positioning Based on Massive MIMO Systems

@inproceedings{positioning_2, added-at = {2020-03-20T15:07:06.000+0100}, author = {{Widmaier}, M. and {Arnold}, M. and {D\"orner}, S. and {Cammerer}, S. and {ten Brink}, S.}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2a76ca2f1d096a8c6b9fec9442f25ad16/inue}, booktitle = {2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)}, doi = {10.1109/VTCFall.2019.8891273}, interhash = {335beb417e4f5878b61eae57e246d5f5}, intrahash = {a76ca2f1d096a8c6b9fec9442f25ad16}, issn = {1090-3038}, keywords = {extractor;Artificial multiple-output myown from:sdnr (artificial communication;neural nets;telecommunication system;neural extraction arrays;Feature structure;phase measurements;Training;Antenna radio;learning system;user intelligence);MIMO acquisition;feature NN localization communication;indoor neural data networks;channel branch;indoor extraction;indoor systems;indoor scenarios;recall positioning MIMO accuracy;training networks;Antenna information;multiple-input state system;IPS computing;massive task;tailored communication}, month = {Sep.}, pages = {1-6}, timestamp = {2020-03-20T14:07:06.000+0100}, title = {Towards Practical Indoor Positioning Based on Massive MIMO Systems}, year = 2019 }