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  • 學位論文

多輸入多輸出補零區塊傳輸系統下使用基於子空間方法盲通道估測之廣義演算法研究

A Generalized Subspace-based Blind Channel Estimation Algorithm in MIMO Zero-Padded Block Transmission Systems

指導教授 : 蘇柏青

摘要


本論文系統性地介紹了一種在多輸入多輸出補零區塊傳輸系統下使用基於子空間方法盲通道估測之演算法研究。然後,在論文提出了一種在多輸入多輸出補零區塊傳輸系統下使用基於子空間方法盲通道估測之廣義演算法,它利用一種重複架構去增進通道的可辨識性。藉由引進適當的重複指數,通道估測可以有效地在極少數所接受到區塊下運作。此外,本論文討論了基於一階攝動分析之理論效能分析對於所提出之廣義盲通道估測演算法。最後,本論文推導了此探討系統之Cramer-Rao 界限,它被視為一種關於所有盲通道估測之演算法的效能指標。數值模擬結果中完整地驗證在高信噪比區域時,所提出之廣義盲通道估測演算法在效能上優於其他先前演算法。

並列摘要


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.

參考文獻


Wireless and Mobile Communications Volumn I: Trends in channel estimation and
equalization, ser. Signal Processing Advances in Wireless and Mobile Communications.
and equalizers. i. unification and optimal designs,” Signal Processing, IEEE Transactions
and applications of OFDM, ser. Information technology–transmission, processing,
and storage. Springer, 2004.

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