Semi-blind Channel Estimation Scheme with Bayesian DFE for PRP-OFDM System
學年 104
學期 1
發表日期 2015-11-09
作品名稱 Semi-blind Channel Estimation Scheme with Bayesian DFE for PRP-OFDM System
作品名稱（其他語言）
著者 Shiunn-Jang Chern; Yun-Kai Bai; Kelvin Kuang -Chi Lee; Richard H.-H. Yang
作品所屬單位
出版者
會議名稱 2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
會議地點 Nusa Dua, Bali, Indonesia
摘要 This paper presents a novel block-based Bayesian decision feedback equalization (DFE) receiver for the Pseudo-Random Postfix (PRP) Orthogonal Frequency Division Multiplexing (OFDM) (PRP-OFDM) systems, with semi-blind channel estimation. In conventional PRP-OFDM receiver for semi-blind channel estimation, an order-one statistics of the received signal is developed, for sufficient redundant symbols (PRP). In this paper, we consider the PRP-OFDM system, where the length of PRP (redundant symbols) is less than the channel order, named as the insufficient PRP-OFDM system. To deal with this problem and maintain reasonable complexity of receiver, first the maximum shortening signal-to-noise-ratio (MSSNR) time-domain equalizer (TEQ) is applied to reduce the effect of inter-block-interference (IBI). After that the block-based Bayesian DFE equalizer is developed for alleviating the intersymbol interference (ISI), hence to achieve better system performance, in terms of bit-error rate (BER). Computer simulation results verify that the proposed scheme could achieve BER improvement over the conventional block-based equalizers, viz., the linear zero-forcing (ZF) equalizer, non-linear ZF equalizer (with oblique projector) and the minimum mean square error DFE.
關鍵字 PRP-OFDM;redundant symbol;ISI;IBI;block-based DFE;zero-forcing equalizer;Oblique projector;BER
語言 en
收錄於
會議性質 國內
校內研討會地點 無
研討會時間 20151109~20151112
通訊作者 Shiunn-Jang Chern
國別 IDN
公開徵稿
出版型式
出處 2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) (IEEE Explorer)
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/107378 )