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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…mehr

Produktbeschreibung
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.
Autorenporträt
Thottempudi Pardhu arbeitet als Assistenzprofessor in der Abteilung für Elektronik und Kommunikationstechnik an der SR University, Warangal. Seine Forschungsinteressen umfassen die RADAR-SignalverarbeitungSandeep Kumar Kavuru arbeitet als Experience Architect und Design Lead bei der U.S. Bank, USA.