Blind Channel Estimation Performance Analysis in MIMO Cyclic Prefixed OFDM Systems
Date Issued
2014
Date
2014
Author(s)
Tseng, Kia-Han
Abstract
In this thesis, we study blind channel estimation in multi-input, multioutput (MIMO) cyclic prefixed (CP) based orthogonal frequency division multiplexing (OFDM) system. Our main contributions are of theoretical aspects of this problem including a theoretical performance bound and performance analysis of the proposed method. The derived Cramer-Rao bound (CRB) for blind channel estimation bound is valid for arbitrary numbers of transmit antennas, received antennas, and received symbols available for blind channel estimation, and serve as a benchmark of performances for several recently reported subspace-based methods. Computer simulations are conducted to compare the performance of these methods with the derived bound.
The results show that there are still rooms for improvement for the currently available blind channel estimation methods, especially in low signal-to-noise (SNR) region. Therefore, we improves the performance of a recently reported subspace-based blind channel method in low SNR region by turning the colored noise matrix into the white one. The theoretical performance analysis of our proposed method is also presented, which is based on the first order
approximation in the small perturbation analysis.
Subjects
盲通道估測
循環前置
Cramer-Rao界線
效能分析
多輸入多輸出
Type
thesis
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