• DocumentCode
    47243
  • Title

    Joint Symbol Detection for Multi-Receiver Without Signal Synchronization and Array Alignment

  • Author

    Zhixiang Shen ; Hongyi Yu ; Yunpeng Hu ; Caiyao Shen

  • Author_Institution
    Dept. of Commun. Eng., Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou, China
  • Volume
    18
  • Issue
    10
  • fYear
    2014
  • fDate
    Oct. 2014
  • Firstpage
    1755
  • Lastpage
    1758
  • Abstract
    This letter deals with symbol sequence detection of multi-receiver signals based on the maximum-likelihood (ML) criterion. A novel iterative scheme is proposed to estimate the symbols without synchronization or alignment of timing and phase. Instead of the accurate delay compensation and optimal samples recovery, the detection of symbols employs the direct calculation of the matched filter outputs, eliminating the need for separate synchronizer and combiner. Since the received samples at each branch are viewed as incomplete observations, the joint ML estimation of symbols can be obtained in an iterative way by means of the expectation-maximization algorithm. The proposed scheme is compared with conventional signal combining schemes and joint ML synchronizers by simulation results. It is shown that the proposed detector enables significant improvement on the bit-error rate for weak received signals.
  • Keywords
    array signal processing; error statistics; filtering theory; iterative methods; matched filters; maximum likelihood estimation; radio receivers; signal detection; space communication links; bit-error rate improvement; deep space network; direct matched filter output calculation; expectation-maximization algorithm; iterative scheme; joint ML symbol estimation; joint symbol sequence detection; low Earth orbit satellites communications; maximum-likelihood criterion; multireceiver signals; symbol estimation; Bit error rate; Complexity theory; Delays; Detectors; Joints; Synchronization; Iterative methods; maximum-likelihood estimation; multi-receiver; symbol detection;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2014.2352644
  • Filename
    6884779