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An Investigation in and Implementation of Channel Estimation Algorithms in LTE Uplink

Author: ZhaoYan
Tutor: RenGuangLiang
School: Xi'an University of Electronic Science and Technology
Course: Communication and Information System
Keywords: LTE SC-FDMA Channel Estimation MIMO Equalizing Turbo Decode
CLC: TN919.3
Type: Master's thesis
Year: 2009
Downloads: 1033
Quote: 10
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Abstract


With the increase of demand on the multimedia services, 3GPP has proposed its long term evolution (LTE) system. The most significant improvement of LTE system is that it employs many novel air-interface techniques. Accordingly exact channel estimation technology is the key to the high transmission performance and ensures the superiority of the system. So this thesis is engaged in the research on the channel estimation technology for LTE uplink.According to the latest LTE specification, the pilot-symbol-aided channel estimation algorithms for LTE uplink are researched in this thesis. Firstly, two basic criterions, LS and MMSE, for channel estimation is introduced. Based on an improvement of the criterions, an iterative MIMO equalization channel estimation algorithm and an iterative turbo decoding feedback channel estimation algorithm are proposed. As a verification of their performance, the simulation results are given. The simulation results show that the iterative turbo decoding estimation algorithm has higher accuracy with limited complexity increase, and can effectively follow time-variant channels. It outperforms the iterative MIMO equalization algorithm, and is more applicable in high-speed environments. Moreover, from the perspective of implementation, the process of the channel estimation module in LTE uplink is introduced, as well as the DSP platform for the implementation, the optimization of the platform, and optimization results.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Data communication > Data transmission technology
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