Estimation of Multiple Channel Parameters in Mimo Environment

Recently the increasing demand for improving channel capacity value has attracted the researcher to work in this direction and use MIMO wireless communication system. Researchers contribute various algorithms to improve the channel capacity in wireless communication. However, to achieve improved channel capacity we may need to have detailed knowledge of the channel. So in this work my aim is to estimate the channel in an MIMO wireless environment. The overview on basic techniques for channel estimation is given here. In this work, we estimate different channel parameters such as amplitude and phase and the results are compared with the ideal parameters. Here Maximum Likelihood Technique (MLE) is used to estimate the channel parameters.

Autorentext

Thottempudi Pardhu schloss 2011 sein B.Tech-Studium in ECE am MLRIT und 2013 sein M.Tech-Studium in Embedded Systems an der Vignan University ab und promovierte an der VIT University in RADAR SIGNAL Processing. 20 internationale Arbeiten hat er in renommierten Zeitschriften und Konferenzen veröffentlicht und arbeitet jetzt als Assistenzprofessor im Fachbereich ECE am St. Peters Engg College in Hyderabad.