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MLSE Equalizer with Optimized Channel Shortening for FTN Transmission
FAN Jian-Cun, REN Ya-Jie, ZHANG Ying, LUO Xin-Min
School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049
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Funding: China Postdoctoral Science Foundation (No.2014M560780 and 2015T81031)
Opened online: 9 May 2017
Accepted by: none
Citation: FAN Jian-Cun, REN Ya-Jie, ZHANG Ying.MLSE Equalizer with Optimized Channel Shortening for FTN Transmission[OL]. [ 9 May 2017] http://en.paper.edu.cn/en_releasepaper/content/4727300
 
 
Faster-than-Nyquist(FTN) signaling by introducing controlled emph{inter-symbol interference} (ISI) has been viewed as a potential technique in the coming emph{fifth generation} (5G) systems due to its higher spectrum efficiency. In order to achieve the high transmission rate, the effective receivers have to been design to suppress the ISI and extract the transmit signals. Therefore, we propose a channel shortening-based emph{maximum-likelihood sequence equalization} (MLSE) scheme. In this scheme, the length of the shortening channel can be optimized for the different time-squeezing factor, which determines the transmission rate and ISI in FTN systems, to achieve a good tradeoff between the detection performance and the implementation complexity. The simulation analysis results show that the proposed MLSE equalizer with optimized channel shortening can achieve a good tradeoff between the performance and the complexity.
Keywords:communication and information systems, faster-than-Nyquist, channel shortening, MLSE
 
 
 

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