Blind Channel Identification and Equalisation in OFDM using Subspace-Based Methods
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| Title | Blind Channel Identification and Equalisation in OFDM using Subspace-Based Methods |
| Authors | |
| 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) decomposition 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 ofMNS is implemented. We present simulation results demonstrating the channel identification performance of the corresponding OFDM-based SIMO systems employ cyclic prefixing approach. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2009-08-01 |
| Source | Journal of Communications Vol 4, No 7 (2009): Special Issue: Advanced Wireless Technology |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |