Cluster-based analysis of 3D MIMO channel measurement in an urban environment. - In: MILCOM 2015, ISBN 978-1-5090-0073-9, (2015), S. 744-749
http://dx.doi.org/10.1109/MILCOM.2015.7357533
Cluster-based mobile-to-mobile channel characterization for realistic modelling of multipath-components. - In: 2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), ISBN 978-1-4673-7701-0, (2015), S. 619-626
http://dx.doi.org/10.1109/WiMOB.2015.7348020
Performance of carrier-less amplitude and phase modulation with frequency domain equalization for indoor visible light communications. - In: 2015 4th International Workshop on Optical Wireless Communications (IWOW), ISBN 978-1-4673-7726-3, (2015), S. 16-20
http://dx.doi.org/10.1109/IWOW.2015.7342257
A low complexity deterministic algorithm for the antenna/user selection in multi-antenna systems. - In: IEEE PIMRC 2015, ISBN 978-1-4673-6782-0, (2015), S. 900-905
http://dx.doi.org/10.1109/PIMRC.2015.7343425
A fast and optimal deterministic algorithm for NP-Hard antenna selection problem. - In: IEEE PIMRC 2015, ISBN 978-1-4673-6782-0, (2015), S. 895-899
http://dx.doi.org/10.1109/PIMRC.2015.7343424
Impact of angular spread and number of multipath clusters on MIMO channels. - In: IEEE PIMRC 2015, ISBN 978-1-4673-6782-0, (2015), S. 512-513
http://dx.doi.org/10.1109/PIMRC.2015.7343353
Measurement of human exposure to LTE base stations : present status and future challenges in measurement methodology. - In: 2015 45th European Microwave Conference, ISBN 978-2-87487-039-2, (2015), S. 881-884
http://dx.doi.org/10.1109/EuMC.2015.7345905
A wide dynamic range microwave frequency discriminator for cognitive radio. - In: 2015 45th European Microwave Conference, ISBN 978-2-87487-039-2, (2015), S. 889-892
http://dx.doi.org/10.1109/EuMC.2015.7345907
Application of wireless sensors within a traffic monitoring system. - In: 2015 23rd Telecommunications Forum (TELFOR), ISBN 978-1-5090-0055-5, (2015), S. 236-241
http://dx.doi.org/10.1109/TELFOR.2015.7377456
Lorentz force eddy current testing: theory and simulation. - In: International Interdisciplinary PhD Workshop, IIPhDW 2015, 14-17 May 2015, Mi&hlink;edzyzdroje, Poland, ISBN 978-83-61956-35-8, (2015), S. 78-79
The present contribution addresses the underlying theory of the non destructive testing technique Lorentz force eddy current testing (LET) [1-2]. The technique is applied on moving nonmagnetic conductors to detect buried defects and inclusions by means of the Lorentz force acting on a magnet system which is in relative motion with respect to the object under test. The fundamentals of motion induced eddy currents are described by evaluating analyticaI expressions of the Lorentz force and eddy current density of a cylindrical conductor moving through a ring magnet system. The reaction of the magnetic field generated by the induced eddy currents is taken into account in the present analysis in order to provide accurate predictions even for high velocities. The presented results are supported by finite-element simulations. In the presence of a defect, the induced eddy currents and hence, the Lorentz force acting on the magnet is perturbed. This response depends on the geometry and magnetization direction of the applied magnet system. In an optimization framework, the magnet system is optimized in order to maximize the absolute defect response signal. The optimal design depends on the defect parameters such as its size and Iocation and hence on the predefined detection goal. Distinct cases of subsurface and deep lying defects are studied and optimal designs are presented. Further studies are related to investigations on the role of uncertainties in the input parameters on the resulting Lorentz force. ln this sense, the remanence of the magnet, the lift-off distance as well as the conductivity and velocity of the specimen were modelled as uniform distributed random variables. The uncertainty intervals are estimated by our laboratory setup. A non-intrusive generalized polynomial chaos expansion [3] is performed by means of numerical simulations in order to quantify the impact of each of the input uncertainties. Most important parameters are identified in order to improve the accuracy of our laboratory setup.