Performance analysis of adaptive arrays based on minimum BER algorithms

S. Denno, S. Sakaguchi, D. Umehara

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

Abstract

This paper derives theoretical performance of adaptive arrays based on minimum BER algorithms which achieve superior performance to that on MMSE based algorithms such as LMS (least mean square) in the presence of lots of interference. Especially, LBER (least BER) algorithm which has been proposed as one of minimum BER algorithms is applied for the derivation in this paper. It is shown that the LBER algorithm can be regarded as a variable gain adaptive algorithm where the variable stepsize is a function of eigenvalues of the channel matrix and transmission signal states. The theoretical performance is confirmed to fit that of computer simulation.

Original languageEnglish
Title of host publication2nd European Conference on Antennas and Propagation, EuCAP 2007
Edition11961
DOIs
Publication statusPublished - Dec 1 2007
Externally publishedYes
Event2nd European Conference on Antennas and Propagation, EuCAP 2007 - Edinburgh, United Kingdom
Duration: Nov 11 2007Nov 16 2007

Publication series

NameIET Seminar Digest
Number11961
Volume2007

Other

Other2nd European Conference on Antennas and Propagation, EuCAP 2007
CountryUnited Kingdom
CityEdinburgh
Period11/11/0711/16/07

Keywords

  • Adaptive algorithm
  • Array antenna
  • Eigen-analysis
  • Interference mitigation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Denno, S., Sakaguchi, S., & Umehara, D. (2007). Performance analysis of adaptive arrays based on minimum BER algorithms. In 2nd European Conference on Antennas and Propagation, EuCAP 2007 (11961 ed.). (IET Seminar Digest; Vol. 2007, No. 11961). https://doi.org/10.1049/ic.2007.1511