Virtual quadrature phase shift keying with low-complexity equalization for performance enhancement of OFDM systems

被引：19
作者：
Ramadan, K. [1 ]
Dessouky, M. I. [2 ]
Abd El-Samie, F. E. [2 ]
Elagooz, S. [1 ]
机构：
[1] El Shorouk Acad, Dept Elect & Elect Commun Engn, Higher Inst Engn, Cairo, Egypt
[2] Menoufia Univ, Dept Elect & Elect Commun Engn, Fac Elect Engn, Menoufia, Egypt
来源：
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS | 2018年 / 96卷
关键词：
OFDM; ZF; CFO; ICI; ISI; COMPENSATION;
D O I：
10.1016/j.aeue.2018.08.031
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The Zero-Forcing (ZF) equalizer suffers from two main problems; the noise enhancement and the high complexity due to direct matrix inversion, especially with a large number of sub-carriers. On the other hand, the Minimum Mean Square Error (MMSE) equalizer has a high complexity and requires estimation of the Signal-to-Noise Ratio (SNR). In this paper, we modify the structure of the traditional Orthogonal Frequency Division Multiplexing (OFDM) system by adding a Virtual Quadrature Phase Shift Keying (VQPSK) block with power allocation that reduces the computational complexity of the equalization process using banded-matrix approximation, and duplicates the transmitted symbols compared to the corresponding QPSK mapping algorithm. (C) 2018 Elsevier GmbH. All rights reserved.
引用
收藏
页码：199 / 206
页数：8
相关论文
共 50 条
  • [31] A Low-Complexity Channel Estimation for OFDM Systems Based on CIR Length Adaptation
    Park, Hyung-Rae
    IEEE ACCESS, 2022, 10 : 85941 - 85951
  • [32] A Low-Complexity Minimum-Interference Symbol Time Estimation for OFDM Systems
    Chin, Wen-Long
    Chen, Sau-Gee
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2009, E92B (05) : 1828 - 1833
  • [33] Low-complexity joint synchronization of symbol timing and carrier frequency for OFDM systems
    Zheng, HR
    Tang, J
    Shen, B
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2005, 51 (03) : 783 - 789
  • [34] Low-Complexity Equalizer for OFDM Systems in Doubly-Selective Fading Channels
    Lee, Namjeong
    Lee, Hoojin
    Kang, Joonhyuk
    Gil, Gye-Tae
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2009, E92B (03) : 1031 - 1034
  • [35] Low-Complexity Spectrum Shaping for OFDM-Based Cognitive Radio Systems
    Zhou, Xiangwei
    Li, Geoffrey Ye
    Sun, Guolin
    IEEE SIGNAL PROCESSING LETTERS, 2012, 19 (10) : 667 - 670
  • [36] A Low-complexity SNR Estimation Algorithm and Channel Estimation Method for OFDM Systems
    He, Pei
    Li, Zhixin
    Wang, Xuan
    2014 4TH IEEE INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST), 2014, : 698 - 701
  • [37] A High-precision and Low-complexity Timing Synchronization Algorithm for OFDM Systems
    Yu, Bao-Xian
    Li, Yan
    Fu, Chao
    Dai, Xian-Hua
    INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND COMMUNICATION ENGINEERING (CSCE 2015), 2015, : 814 - 819
  • [38] A Low-Complexity ML Estimator for Carrier and Sampling Frequency Offsets in OFDM Systems
    Wang, Xu
    Hu, Bo
    IEEE COMMUNICATIONS LETTERS, 2014, 18 (03) : 503 - 506
  • [39] Partial Shift Mapping for PAPR Reduction with Low Complexity in OFDM Systems
    Ouyang, Xing
    Jin, Jiyu
    Jin, Guiyue
    Wang, Zhisen
    ETRI JOURNAL, 2012, 34 (02) : 268 - 271
  • [40] DESIGN AND PERFORMANCE EVALUATION OF A MULTIUSER OFDM SYSTEM BASED ON DIFFERENTIAL QUADRATURE CHAOS-SHIFT-KEYING SPREAD SPECTRUM
    Hassan, Ashraf Y.
    El Beshry, Mahmoud O.
    Harb, Khaled T.
    El Hennawy, H.
    PROCEEDINGS OF 2021 38TH NATIONAL RADIO SCIENCE CONFERENCE (NRSC), 2021, : 139 - 148
12345