Blind Multi-User Detection of Co-Frequency Signals with Unknown Carrier Frequency Offsets

Xiao Bei Liu, Yong Liang Guan, Soo Ngee Koh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, the problem of blind multi-user detection (MUD) of co-frequency phase-shift keying (PSK) signals with unknown carrier frequency offsets (CFOs) is investigated. Firstly, a CFO estimation scheme which explores cyclic-feature of the received mixture signal to estimate CFOs of signals from different users is introduced. After that, a CFO-robust turbo MUD detector which performs blind channel estimation and symbol detection iteratively is proposed. Simulation results show that by using the proposed blind turbo MUD receiver, the symbol error rates (SERs) of the detected symbols are much lower than those achieved by using the conventional MUD receiver, and the SER obtained by the blind MUD receiver is very close to SER obtained under perfect channel state information (CSI) condition.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Communication Systems, ICCS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages263-267
Number of pages5
ISBN (Electronic)9781538678640
DOIs
Publication statusPublished - Jul 2 2018
Externally publishedYes
Event16th IEEE International Conference on Communication Systems, ICCS 2018 - Chengdu, China
Duration: Dec 19 2018Dec 21 2018

Publication series

Name2018 IEEE International Conference on Communication Systems, ICCS 2018

Conference

Conference16th IEEE International Conference on Communication Systems, ICCS 2018
Country/TerritoryChina
CityChengdu
Period12/19/1812/21/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

ASJC Scopus Subject Areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management
  • Aerospace Engineering

Keywords

  • carrier frequency offset
  • multi-user detection
  • per-survivor processing

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