A Generalized Subspace-based Blind Channel Estimation Algorithm in MIMO Zero-Padded Block Transmission Systems
Date Issued
2011
Date
2011
Author(s)
Yi, Tsung-Yang
Abstract
In this thesis, a systematic study of subspace-based blind channel estimation algorithm in multi-input multi-output (MIMO) zero-padded (ZP) block transmission systems is presented. A generalized subspace-based blind channel estimation algorithm in MIMO ZP block transmission systems is proposed, which makes use of the repetition scheme to improve the channel identifiability. By introducing the appropriate repetition index, the channel estimation can effectively work with few received blocks. Moreover, the theoretical performance analysis of the proposed generalized blind channel estimation algorithm is presented, which is based on the first order approximation in the small perturbation analysis. Finally, the Cramer-Rao bound (CRB) for this system is derived, which is regarded as a benchmark for the performance of blind channel estimation algorithms. The proposed estimator outperforms other early estimators in the high-signal-to-noise Ration (SNR) region, which can be fully supported by its numerical simulation results.
Subjects
Blind channel estimation
subspace-based methods
Cramer-Rao bound
performance analysis
repetition index
zero-padded
block transmission systems
wireless communication
MIMO
Type
thesis
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