文章基本信息

标题：Blind Channel Identification and Equalisation in OFDM using Subspace-Based Methods
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作者：Alayyan, Faisal O. ; Shubair, Raed M. ; Zoubir, Abdelhak M. 等
期刊名称：Journal of Communications
印刷版ISSN：1796-2021
出版年度：2009
卷号：4
期号：7
页码：472-484
DOI：10.4304/jcm.4.7.472-484
语种：English
出版社：ACADEMY PUBLISHER
摘要：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.
关键词：OFDM; MNS; Blind Channel Identification; Equalisation