A Low-Complexity Maximum Likelihood Detector for the Spatially Modulated Signals: Algorithm and Hardware Implementation

被引:10
|
作者
Liu, Tsung-Hsien [1 ]
Ye, You-Zhi [1 ]
Huang, Chen-Kai [1 ]
Chen, Chiao-En [2 ]
Hwang, Yin-Tsung [3 ]
Chu, Yuan-Sun [4 ]
机构
[1] Natl Chung Cheng Univ, Grad Inst Commun Engn, Chiayi 602, Taiwan
[2] Natl Chung Cheng Univ, Dept Elect Engn, Chiayi 602, Taiwan
[3] Natl Chung Hsing Univ, Dept Elect Engn, Taichung 402, Taiwan
[4] Natl Chung Cheng Univ, High Tech Innovat, Chiayi 602, Taiwan
关键词
Spatial modulation; maximum likelihood detection; QR-decomposition; Givens rotation; CORDIC module; ML DETECTION; MIMO; AREA;
D O I
10.1109/TCSII.2019.2896350
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
Aiming to increase the transmission data rate, the spatial modulation (SM) scheme maps each block of information bits to a digitally modulated symbol and additionally a transmit antenna index in a multiple transmit antenna system. In this brief, we focus on the maximum likelihood detection (MLD) scheme that detects SM signals with low computational complexity. By reformulating the MLD problem, we obtain a new mathematical expression as the MLD solution. To avoid the numerically unstable division operation, we apply the Givens rotation to realize this new expression and obtain a low-complexity MLD algorithm. We also propose a coordinate rotation digital computer-based hardware architecture to detect SM signals with 64-quaternary amplitude modulated (QAM) symbols over the correlated channel with eight transmit antennas and four receive antennas. The VLSI implementation results under the TSMC 90-nm CMOS technology reveal that our division-free architecture requires 70.5K gates and provides detection throughput 432.68 Mb/s, while operating at frequency 384.6 MHz. Our design is the first hardware architecture to achieve the exact MLD performance and is easily modified to detect SM signals with arbitrary ${M}$ -ary QAM symbols and arbitrary numbers of transmit and receive antennas.
引用
收藏
页码:1820 / 1824
页数:5
相关论文
共 50 条
  • [21] Low-complexity algorithm for tap-selective maximum likelihood estimation over sparse multipath channels
    Hwang, Jeng-Kuang
    Chung, Rih-Lung
    GLOBECOM 2007: 2007 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-11, 2007, : 2857 - 2862
  • [22] Design and Implementation of a Low-Complexity Symbol Detector for Sparse Channels
    Peng, Yanjie
    Huang, Xinming
    Klein, Andrew G.
    Zhang, Kai
    IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2013, 21 (08) : 1506 - 1515
  • [23] Hardware Oriented Low-Complexity Intra Coding Algorithm for SHVC
    Katayama, Takafumi
    Song, Tian
    Shi, Wen
    Fujita, Gen
    Jiang, Xiantao
    Shimamoto, Takashi
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2017, E100A (12) : 2936 - 2947
  • [24] A Low-Complexity and Hardware-Oriented Image Stitching Algorithm
    Wen, Fu-Jung
    Lin, Jr-Yu
    Chiou, Yih-Shyh
    Lin, Ting-Lan
    Chen, Chiung-An
    Chen, Shih-Lun
    2020 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TAIWAN), 2020,
  • [25] A novel algorithm and hardware architecture for low-complexity soft demappers
    Kalampoukas, Andreas
    Paliouras, Vassilis
    2018 7TH INTERNATIONAL CONFERENCE ON MODERN CIRCUITS AND SYSTEMS TECHNOLOGIES (MOCAST), 2018,
  • [26] Low-complexity implementation of quasi-OBE algorithm
    Arablouei, R.
    Dogancay, K.
    ELECTRONICS LETTERS, 2012, 48 (11) : 621 - 623
  • [27] An Low Complexity Hardware Implementation of MIMO Detector with Application to WLAN
    Yoon, Chanho
    Choi, Eunyoung
    Son, Jungbo
    Lee, Sok-Kyu
    Jeon, Taehyun
    2006 IEEE 63RD VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-6, 2006, : 2271 - +
  • [28] Low-Complexity Lattice Reduction Aided MIMO Detection for Hardware Implementation
    Koo, Jihye
    Kim, Hyunsub
    Lee, Hyukyeon
    Kim, Hanjun
    Kim, Jaeseok
    PROCEEDINGS OF THE 2016 IEEE REGION 10 CONFERENCE (TENCON), 2016, : 3237 - 3240
  • [29] An Adaptive and Low-Complexity Maximum Likelihood Sequence Detector for High-Speed PAM4 Wireline Transceivers
    Xu C.
    Lai M.
    Lyu F.
    Wang Q.
    Qi X.
    Luo Z.
    Li S.
    Zhang G.
    Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2024, 36 (03): : 452 - 463
  • [30] 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