Maximum-Likelihood-based Iteration Algorithm Design for Joint CFO and Channel Estimation in MIMO-OFDM Systems
| Autor: | Kai-Chieh Huang, 黃楷捷 |
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| Rok vydání: | 2018 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 106 In this thesis, we present a joint carrier frequency offset (CFO) and frequency selective channel response estimation in multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) systems. The signal model of MIMO-OFDM is introduced and the joint estimator is derived based on the maximum likelihood criterion. The proposed algorithm can be separated into two major portions. In the first part of proposed algorithm, we estimate an initial CFO by using the rotation concept and utilize the result to design the frequency domain equalizer. The second part is to employ iterative concept to find the true frequency peak for better CFO estimation performance. The proposed method can surely converge to the global maximum solution step by step. In addition, the computation complexity is less than the grid-search method. The MSE performance of the proposed algorithm shown in the simulation result is close to the Cramer-Rao Lower bound (CRB). |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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