Efficiency Improvement for Path Detection and Tracking Algorithm in a Time-Varying Channel

This paper revisits estimation and tracking of channel parameters of multiple-input multiple-output (MIMO) systems. Since initialization of channel parameters has always been regarded as a computationally complex problem, we develop a new parameter initialization method that exploits the nature of the data structure of channel measurements. For medium or large problems it leads to a more than 500 times runtime acceleration for parameter initialization. We show that the runtime of the new initialization method increases much more slowly compared with that of the traditional initialization method when the dimensions of measurement data or search grids grow.