Interference cancellation and signal detection technique based on QRD-M algorithm for FTN signalling

被引:5
|
作者
Baek, M. -S. [1 ]
Yun, J. [1 ]
Hur, N. [1 ]
Lim, H. [1 ]
机构
[1] ETRI, Daejeon, South Korea
关键词
interference suppression; signal detection; intersymbol interference; computational complexity; matrix algebra; error statistics; telecommunication signalling; interference cancellation; signal detection technique; QRD-M algorithm; FTN signalling; faster-than-Nyquist signalling; QR decomposition; Toeplitz structure; inter-symbol interference coefficient matrix; transmitted symbol detection; Bahl-Cocke-Jelinek-Raviv algorithm; BCJR algorithm; BER performance;
D O I
10.1049/el.2016.3377
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
This Letter presents interference cancellation and signal detection technique for faster-than-Nyquist (FTN) signalling. The proposed scheme uses QR decomposition (QRD)-M algorithm to execute interference cancellation and signal detection. Based on the Toeplitz structure of the inter-symbol interference coefficient matrix, the QRD-M algorithm is adopted to detect the transmitted symbols from an FTN signal. The computational complexity comparisons and numerical results demonstrate that the proposed technique can achieve the complexity <10% of Bahl-Cocke-Jelinek-Raviv (BCJR) algorithm while maintaining BER performance similar to that of BCJR algorithm.
引用
收藏
页码:409 / 411
页数:2
相关论文
共 50 条
  • [21] A QRD-M/Kalman filter-based detection and channel estimation algorithm for MIMO-OFDM systems
    Kim, KJ
    Yue, J
    Iltis, RA
    Gibson, JD
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2005, 4 (02) : 710 - 721
  • [22] A Reduced Complexity Interference Cancellation Technique Based on Matrix Decomposition for FTN Signaling
    Zhang, Guangna
    Wei, Yimin
    Shen, Yuehong
    Nie, Shengyu
    Guo, Mingxi
    PROCEEDINGS OF THE 2016 SAI COMPUTING CONFERENCE (SAI), 2016, : 622 - 625
  • [23] Novel Interference Cancellation Technique based on Matrix Computation for FTN Communication System
    Baek, Myung-Sun
    Hur, Nam-Ho
    Lim, Hyoungsoo
    2014 IEEE MILITARY COMMUNICATIONS CONFERENCE: AFFORDABLE MISSION SUCCESS: MEETING THE CHALLENGE (MILCOM 2014), 2014, : 830 - 834
  • [24] Low-complexity iterative QRD-M detection algorithm for V-BLAST systems
    Cha, J.
    Ha, J.
    Kang, J.
    ELECTRONICS LETTERS, 2007, 43 (24) : 1374 - 1376
  • [25] Near-capacity MIMO multiuser precoding with QRD-M algorithm
    Zhang, Jianzhong
    Kim, Kyeong Jin
    2005 39TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, VOLS 1 AND 2, 2005, : 1498 - 1502
  • [26] A Very Low Complexity QRD-M MIMO Detection Based on Adaptive Search Area
    Kim, Bong-seok
    Kim, Sang-Dong
    Na, Dongjun
    Choi, Kwonhue
    ELECTRONICS, 2020, 9 (05)
  • [27] Low complexity maximum-likelihood detector for DSTTD architecture based on the QRD-M algorithm
    Joaquín Cortez
    Miguel Bazdresch
    Julio Ramírez
    Ramón Palacio
    Erica Ruiz
    Telecommunication Systems, 2019, 70 : 55 - 66
  • [28] Low complexity maximum-likelihood detector for DSTTD architecture based on the QRD-M algorithm
    Cortez, Joaquin
    Bazdresch, Miguel
    Ramirez, Julio
    Palacio, Ramon
    Ruiz, Erica
    TELECOMMUNICATION SYSTEMS, 2019, 70 (01) : 55 - 66
  • [29] A very low complexity QRD-M algorithm based on limited tree search for MIMO systems
    Kim, Bong-seok
    Choi, Kwonhue
    2008 IEEE 67TH VEHICULAR TECHNOLOGY CONFERENCE-SPRING, VOLS 1-7, 2008, : 1246 - 1250
  • [30] Adaptive QRD-M detection with variable number of surviving paths for MIMO systems
    Peng, Wei
    Ma, Shaodan
    Ng, Tung Sang
    Wang, Jiang Zhou
    2007 INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES, VOLS 1-3, 2007, : 403 - +