Recursive least squares estimation for QAM and QPSK signals in the presence of frequency offset

Satoshi Denno, Yoichi Saito

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

1 Citation (Scopus)

Abstract

This paper presents the performances of recursive least squares (RLS) estimations for AFC and APC in the presence of frequency offset in order to attain the fast acquisition in TDMA systems. New algorithm for APC following quasi-coherent detection is proposed to estimate both frequency offset and initial phase error using RLS algorithms. Therefore, this algorithm has the advantages of fast convergence and robustness against the additive noise in the presence of frequency offset as well as RLS estimation for differential detection. It is verified experimentally that the estimators for 16QAM quasi-coherent detection and n/4-QPSK differential detection have good performance in the presence of frequency offset, and that the RLS estimator attains convergence in 10 symbols.

Original languageEnglish
Title of host publication1992 International Conference on Communications
Subtitle of host publicationDiscovering a New World of Communications, SUPERCOMM/ICC 1992 - Conference Record
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages491-495
Number of pages5
ISBN (Electronic)078030599X
DOIs
Publication statusPublished - Jan 1 1992
Externally publishedYes
Event1992 IEEE International Conference on Communications: Discovering a New World of Communications, SUPERCOMM/ICC 1992 - Chicago, United States
Duration: Jun 14 1992Jun 18 1992

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607

Conference

Conference1992 IEEE International Conference on Communications: Discovering a New World of Communications, SUPERCOMM/ICC 1992
CountryUnited States
CityChicago
Period6/14/926/18/92

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Recursive least squares estimation for QAM and QPSK signals in the presence of frequency offset'. Together they form a unique fingerprint.

  • Cite this

    Denno, S., & Saito, Y. (1992). Recursive least squares estimation for QAM and QPSK signals in the presence of frequency offset. In 1992 International Conference on Communications: Discovering a New World of Communications, SUPERCOMM/ICC 1992 - Conference Record (pp. 491-495). [268082] (IEEE International Conference on Communications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.1992.268082