An Analysis of the Bidirectional LMS Algorithm over Fast-Fading Channels

Yapici Y., YILMAZ A. Ö.

IEEE TRANSACTIONS ON COMMUNICATIONS, vol.60, no.7, pp.1759-1764, 2012 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 60 Issue: 7
  • Publication Date: 2012
  • Doi Number: 10.1109/tcomm.2012.050812.110116
  • Journal Name: IEEE TRANSACTIONS ON COMMUNICATIONS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1759-1764
  • Keywords: Time-varying channels, adaptive estimation, least mean square methods, mean square error methods, fading channels, LEARNING CHARACTERISTICS, ADAPTIVE FILTER, MODULATION, TRACKING
  • Middle East Technical University Affiliated: Yes

Abstract

A bidirectional LMS algorithm is considered for estimation of fast frequency-selective time-varying channels with a promise of near optimal tracking performance and robustness to parameter imperfections under various scenarios at a practical level of complexity. The performance of the algorithm is verified by the theoretical steady-state MSE analysis and experimental bit error rate (BER) results.