Open AccessCompetitive linear parallel interference cancellation detection based on monotone line‐search techniques
Author(s) -
Bentrcia Abdelouahab,
Alshebeili Saleh
Publication year - 2014
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
ISSN - 1751-9683
DOI - 10.1049/iet-spr.2013.0096
Subject(s) - detector , single antenna interference cancellation , convergence (economics) , computer science , algorithm , monotone polygon , interference (communication) , line search , noise (video) , mathematics , telecommunications , artificial intelligence , economic growth , channel (broadcasting) , geometry , radius , computer security , economics , image (mathematics)
In this study, a competitive linear parallel interference cancellation (LPIC) detector that is memory efficient, enjoys fast convergence and low complexity and can be used to approximate the decorrelator/minimum‐mean‐square error detector in large‐scale communication systems is proposed. Similar to the non‐monotone gradient‐based LPIC detectors developed recently by Bentrcia and Alshebeili, the proposed detector maintains its efficiency and does not break down quickly if matrix–vector products are not performed accurately. However, unlike the previous detectors, the proposed detector relies on a monotone line‐search technique which renders it more attractive because early stopping methods such as the L‐curve method can be used to stop the LPIC iterations prior to convergence in order to avoid the noise enhancement effect. Simulation results agree well with the authors theoretical findings.