Performance analysis of adaptive arrays based on minimum BER algorithms

S. Denno; S. Sakaguchi; D. Umehara

doi:10.1049/ic.2007.1511

Performance analysis of adaptive arrays based on minimum BER algorithms

S. Denno, S. Sakaguchi, D. Umehara

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2nd European Conference on Antennas and Propagation, EuCAP 2007
Edition	11961
DOIs	https://doi.org/10.1049/ic.2007.1511
Publication status	Published - Dec 1 2007
Externally published	Yes
Event	2nd European Conference on Antennas and Propagation, EuCAP 2007 - Edinburgh, United Kingdom Duration: Nov 11 2007 → Nov 16 2007

Publication series

Name	IET Seminar Digest
Number	11961
Volume	2007

Other

Other	2nd European Conference on Antennas and Propagation, EuCAP 2007
Country	United Kingdom
City	Edinburgh
Period	11/11/07 → 11/16/07

Keywords

Adaptive algorithm
Array antenna
Eigen-analysis
Interference mitigation

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1049/ic.2007.1511

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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 edn, IET Seminar Digest, no. 11961, vol. 2007, 2nd European Conference on Antennas and Propagation, EuCAP 2007, Edinburgh, United Kingdom, 11/11/07. https://doi.org/10.1049/ic.2007.1511

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AB - 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.

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