Frequency selective fading channel estimation in OFDM systems using KL expansion

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Tarih

2005

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Yayıncı

IEEE

Erişim Hakkı

info:eu-repo/semantics/closedAccess

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Özet

This paper proposes a computationally efficient, linear minimum mean square error (MMSE) channel estimation algorithm based on KL series expansion for OFDM systems. Based on such expansion, no matrix inversion is required in the proposed MMSE estimator. Moreover, truncation in the linear expansion of channel is achieved by exploiting the optimal truncation property of the KL expansion resulting in a smaller computational load on the estimation algorithm. The performance of the proposed approach is studied through analytical and experimental results. We provide performance analysis results studying the influence of the effect of SNR and correlation mismatch on the estimator performance. Simulation results confirm our theoretical results and illustrate that the proposed algorithm is capable of tracking fast fading and improving performance.

Açıklama

Anahtar Kelimeler

Algorithms, Bayes methods, Channel estimation, Channel estimation algorithm, Channel estimator, Channel estimation algorithms, Computational loads, Computationally efficient, Correlation, Correlation mismatch, Estimation, Estimation algorithm, Expansion, Fading, Fading channels, Fast fading, Frequency selective fading channel estimation, Frequency selective fading, Improving performance, KL series expansion, Least mean squares methods, Linear expansion, Linear expansions, Linear minimum mean square errors, Linear MMSE, Matrix inversions, Minimum mean square error, OFDM, OFDM modulation, OFDM systems, Optimal truncation property, Orthogonal frequency division multiplexing, Performance analysis, Series (mathematics), Series expansion, Signal processing, Signal to noise ratio, Telecommunication systems, Theoretical result, Vectors

Kaynak

13th European Signal Processing Conference, EUSIPCO 2005

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N/A

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Künye

Şenol, H., Çırpan, H. A. & Panayırcı, E. (2005). Frequency selective fading channel estimation in OFDM systems using KL expansion. Paper presented at the 1-4.