JOURNAL ARTICLE

Adaptive channel equalization using the sign regressor least mean fourth algorithm

Abstract

In this paper, the performance analysis of the least mean fourth (LMF) algorithm and the sign regressor least mean fourth (SRLMF) algorithm is investigated in an adaptive channel equalization scenario. The simulation results indicate that both the LMF and the SRLMF algorithms exhibit similar bit error rate (BER) performance. Moreover, the results show that the SRLMF algorithm has a slight performance degradation in terms of convergence behavior when compared with the LMF algorithm.

Keywords:
Algorithm Convergence (economics) Computer science Sign (mathematics) Channel (broadcasting) Bit error rate Equalization (audio) Degradation (telecommunications) Adaptive filter Mean-shift Mathematics Artificial intelligence Pattern recognition (psychology) Telecommunications Decoding methods

Metrics

4
Cited By
0.35
FWCI (Field Weighted Citation Impact)
17
Refs
0.65
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Advanced Adaptive Filtering Techniques
Physical Sciences →  Engineering →  Computational Mechanics
Blind Source Separation Techniques
Physical Sciences →  Computer Science →  Signal Processing
Advanced Wireless Communication Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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