Event № 636
Several forms of wireless communication involve estimating the "channel" or relationship between signal transmitted and received. In this talk we will focus on the RADAR channel. I will first introduce and develop a model for this type of channel, that happens to have a sophisticated underlying algebraic structure. In the new state of the art of wireless signal processing digital signals often have extremely high dimension N>10^6, while the channel is still sparse in a certain sense. In such cases one can significantly outperform the currently used channel estimation algorithms. The main goal of this talk is to introduce you to the underlying structure that helps achieve this.