Localization using UAVs. - In: Proceedings of the Joint Workshop of the German Research Training Groups in Computer Science, (2012), S. 261
Fine-line structuring of microwave components on LTCC substrates. - In: Proceedings, (2012), S. 000607-000612
Optimized cavities for microwave applications using the new low loss LTCC material Du Pont 9k7. - In: Proceedings, (2012), S. 000258-000262
An approximation method for crack reconstruction in Lorentz force eddy current testing. - In: Proceedings, ISBN 978-94-6197-069-5, (2012), S. 84-85
Tunability, frequency and temperature behavior of cofired LTCC-integrated barium-strontium-titanate up to 8 GHz. - In: Proceedings, (2012), S. 000447-000454
Ultra-wideband channel sounder - design, construction and selected applications. - In: 20th Telecommunications Forum (TELFOR), 2012, ISBN 978-1-4673-2983-5, (2012), S. 975-978
http://dx.doi.org/10.1109/TELFOR.2012.6419372
Modeling of noise-induced jitter in low-power mixed-signal circuits using a SystemC highlevel description. - In: 20th Telecommunications Forum (TELFOR), 2012, ISBN 978-1-4673-2983-5, (2012), S. 943-946
This work describes the high-level modeling of the effects of noise for performance analyses in circuits and systems which are prone to errors. In order to allow for comprehensive studies, the modeling is based on a SystemC description because of its system level modeling capabilities and of its fine time granularity. The features offered by this approach are demonstrated by example of an ultra-lowpower microelectronics circuit technology. Keywords - High-level modeling, Performance analysis, SystemC, Ultra-low-power microelectronics circuit.
http://dx.doi.org/10.1109/TELFOR.2012.6419364
Lattice reduction-aided regularized block diagonalization for multiuser MIMO systems. - In: IEEE Wireless Communications and Networking Conference (WCNC), 2012, ISBN 978-1-4673-0436-8, (2012), S. 131-135
http://dx.doi.org/10.1109/WCNC.2012.6213983
Power allocation/beamforming for DF MIMO two-way relaying: relay and network optimization. - In: IEEE GLOBECOM 2012, (2012), insges. 6 S.
Low-complexity lattice reduction-aided channel inversion methods for large multi-user MIMO systems. - In: Conference record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2012, ISBN 978-1-4673-5050-1, (2012), S. 463-467
http://dx.doi.org/10.1109/ACSSC.2012.6489047