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Blind Channel Identification and Equalisation in OFDM using Subspace-Based Methods

Faisal O. Alayyan 1, Abdelhak M. Zoubir 1, Raed M. Shubair 2, and Yee Hong Leung 3
1. Signal Processing Group (SPG), TU Darmstadt, Darmstadt, Germany
2. Khalifa University of Science,Technology and Research (KUSTAR), Abu Dhabi, UAE
3. Electrical and Computer Engineering Department, Curtin University of Technology, Perth WA 6845, Australia

Abstract— A subspace-based method is proposed for estimating the channel responses of single-input-multiple-output (SIMO) Orthogonal Frequency Division Multiplexing (OFDM) system. Our technique relies on minimum noise subspace (MNS) decom¬position to obtain noise subspace in a parallel structure from a set of pairs (combinations) of system outputs that form a properly connected sequence (PCS). The developed MNS-OFDM estimator is more efficient in computation than subspace (SS)¬OFDM estimator, although the former is less robust to noise than the later. To maximise the MNS-OFDM estimator performance, a symmetric version of MNS is implemented. We present simulation results demonstrating the channel identification performance of the corresponding OFDM-based SIMO systems employ cyclic prefixing approach.

Index Terms: OFDM, MNS, Blind Channel Identification, Equalisation.

Cite:Faisal O. Alayyan, Raed M. Shubair, Abdelhak M. Zoubir, and Yee Hong Leung, "Blind Channel Identification and Equalisation in OFDM using Subspace-Based Methods," Journal of Communications, vol. 4, no.7, pp.472-484, 2009