文献类型：期刊文献

英文题名：Data detection and coding for data-dependent superimposed training

作者：Wang, Ping[1];Fan, Pingzhi[1];Yuan, Weina[2];Darnell, Michael[3]

机构：[1]Southwest Jiaotong Univ, Inst Mobile Commun, Prov Key Lab Informat Coding & Transmiss, Chengdu 610031, Sichuan, Peoples R China;[2]E China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China;[3]Newcastle Univ, Sch Elect Elect & Comp Engn, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England

年份：2014

卷号：8

期号：2

起止页码：138

外文期刊名：IET SIGNAL PROCESSING

收录：;EI(收录号：20141517563821);WOS:【SCI-EXPANDED(收录号:WOS:000333811100004)】；

基金：This work was supported in part by the National Science Foundation of China (NSFC No. 61032002), the National 973 project (No. 2012CB316100), the 111 Project (No. 111-2-14) and the Fundamental Research Funds for the Central Universities under grant no. SWJTU09CX038.

语种：英文

外文关键词：demodulation; error statistics; modulation coding; quadrature amplitude modulation; data detection; data-dependent superimposed training; equispaced square quadrature amplitude modulation; symbol error floor; bit error floor; data coding method

摘要：A new detection method for data-dependent superimposed training with equi-spaced amplitude modulation or equi-spaced square quadrature amplitude modulation is presented in this study. Symbol and bit error floor of the proposed detection method is analysed. To remove the error floor, a data coding method is also proposed. Analysis and simulation results show that the proposed detection method outperforms the existing methods, and the data detection performance can be further improved via data coding.