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电子工程2020年3期

基于矩阵分解的超奈奎斯特接收技术
苏凤轩
(中国联通广州市分公司,广东 广州 510630)

摘  要:通信传输系统中引入超奈奎斯特信号进行传输时,对码间干扰等问题进行了研究。为了降低码间干扰,提出了利用基于矩阵分解的方案消除超奈奎斯特码间干扰用以提高系统传输的性能。该方案运行时独立于网格状态,首先在发射端处采用相应预编码进行降低干扰,其次在接收端处利用分解进一步消除干扰,消除干扰后的信号通过相关信道译码,最后利用硬判决恢复出原始信息。仿真验证结果表明,基于矩阵分解的 FTN 传输系统可以进一步提高系统的性能。


关键词:超奈奎斯特;码间干扰;矩阵分解;预编码



中图分类号:TN911.4         文献标识码:A         文章编号:2096-4706(2020)03-0047-03


FTN Receiving Technology Based on Matrix Decomposition

SU Fengxuan

(China Unicom Guangzhou Branch,Guangzhou 510630,China)

Abstract:When the Faster-Than-Nyquist signal is introduced in a communication transmission system for transmission,the existence of inter-symbol interference and other issues are studied. In order to reduce the existing inter-symbol interference,a solution based on matrix factorization is proposed to eliminate the inter-symbol interference of Faster-Than-Nyquist to improve the performance of the system transmission. The scheme is independent of the ISI grid state. First,the corresponding precoding is used at the transmitter to reduce interference,and then is to use the decomposing at the receiver to further eliminate interference,and the signal after interference is decoded through the relevant channel. Finally,the original information is recovered by using the hard decision. Simulation results show that the Faster-Than-Nyquist transmission system based on matrix decomposition can further improve the system performance.

Keywords:FTN;ISI;matrix decomposition;precoding


参考文献:

[1] BANELLI P. Modulation Formats and Waveforms for 5G Networks:Who Will Be the Heir of OFDM?:An overview of alternative modulation schemes for improved spectral efficiency [J].Signal Processing Magazine,IEEE,2014,31(6):80-93.

[2] FORNEY,G,JR. Maximum-likelihood Sequence Estimation of Digital Sequences in the Presence of Intersymbol Interference [J].IEEE Transactions on information Theory,1972,18(3):363-378.

[3] BEDEER. E,AHMED M.H,YANIKOMEROGLU H.A Very Low Complexity Successive Symbol-by-symbol Sequence Estimator forFaster-than-Nyquist Signaling [J].IEEE Access,2017(5):7414-7422.


作者简介:苏凤轩(1975-),女,汉族,广东广州人,中级工程师,硕士,研究方向:无线优化、5G 新技术。