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Filtering by: Advisor Magana, Mario E. Committee Member Liu, Huaping Date 2016 Degree Field Electrical and Computer Engineering

Multi-User Massive MIMO Channel Estimation Based on Kalman Filters

Creator:

Yao, Zhaoda

Abstract:

In wireless communication, channel state information (CSI) is essential for data detection. Fast fading coefficients estimation is important in order to acquire accurate CSI. Kalman filters (KF) are widely used for real time parameter estimation and can be used to estimate the fast fading coefficients of a mobile communication channel....

Resource Type:

Masters Thesis
Channel Estimation in TDD Massive MIMO Systems with Subsampled Data at BS

Creator:

Tian, Yichuan

Abstract:

Massive MIMO is a promising technique for future 5G communications due to its high spectrum and energy efficiency. To realize its potential performance gain, accurate channel state information at transmitter side (CSIT) is essential. Frequency division duplex (FDD) is widely employed by the most cellular systems today. However, it requires...

Resource Type:

Masters Thesis