2018/04/20 by Luc Le Magoarou, Magoarou, Luc Le, Stéphane Paquelet +1 · 1 citation
Computer Science · Engineering · Mathematics · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Techniques #Antenna Design and Optimization #cs.IT #cs.NI #eess.SP #math.IT
paper · pdf · doi:10.48550/arxiv.1804.07529
arxiv created 2018/04/26 · arxiv updated 2018/04/27
Channel estimation is challenging in multi-antenna communication systems, because of the large number of parameters to estimate. It is possible to facilitate this task by using a physical model describing the multiple paths constituting the channel, in the hope of reducing the number of unknowns in the problem. Adjusting the number of estimated paths leads to a bias-variance tradeoff. This paper explores this tradeoff, aiming to find the optimal number of paths to estimate. Moreover, the approach based on a physical model is compared to the classical least squares and Bayesian techniques. Finally, the impact of channel estimation error on the system data rate is assessed.