Paper Info
Title
Performance evaluation of adaptive filters for sparse wireless channel estimation.
Abstract
The progressive increase of data rates in wireless communication systems has induced channel models with sampled impulse responses which are mostly sparse. This paper presents a unified derivation of adaptive filters exploiting sparsity in the complex domain, and compares the performance of classic and state-of-the-art adaptive algorithms for estimating sparse wireless channels as well as their tracking ability in this inherently time-varying environment. Simulation results confirm the efficiency of the sparsity-aware algorithms.
Year
Venue
Keywords
2017
European Signal Processing Conference
adaptive filtering,sparsity,set-membership,wireless channel estimation,NLMS
Field
DocType
ISSN
Wireless communication systems,Channel models,Wireless,Computer science,Communication channel,Impulse (physics),Theoretical computer science,Electronic engineering,Adaptive filter,Doppler effect,Signal processing algorithms
Conference
2076-1465
Citations 
PageRank 
References 
0
0.34
10
Authors
5
Name
Order
Citations
PageRank
Markus V. S. Lima15711.75
Tadeu N. Ferreira2487.41
Wallace Alves Martins312214.99
Marcele O. K. Mendonca432.06
Paulo S. R. Diniz524738.72