Reweighted regularised variable step size normalised least mean square-based iterative channel estimation for multicarrier-interleave division multiple access systems

This study focuses on channel estimation scheme in multicarrier-interleave division multiple access (MC-IDMA)-based wireless communications. Specifically, a new adaptive algorithm is derived and proposed for implementation of the channel estimation in the MC-IDMA system. The proposed algorithm is na...

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Vydáno v:IET signal processing Ročník 10; číslo 8; s. 947 - 954
Hlavní autor: Oyerinde, Olutayo O
Médium: Journal Article
Jazyk:angličtina
Vydáno: The Institution of Engineering and Technology 01.10.2016
Témata:
Algorithms
channel estimation
channel estimation scheme
Channels
Division
Estimators
iterative channel estimation
iterative methods
least mean square algorithms
Least mean squares algorithm
least mean squares methods
Mathematical models
MC‐IDMA
multicarrier interleave division multiple access
multicarrier interleave division multiple access systems
Multiple access
OFDM modulation
Orthogonal Frequency Division Multiplexing
orthogonal frequency division multiplexing channels
Research Article
reweighted regularised variable step size
reweighted regularised variable step size normalised least mean square
R‐RVSSNLMS
wireless communications
wireless communications
iterative methods
least mean squares methods
multicarrier interleave division multiple access
reweighted regularised variable step size
reweighted regularised variable step size normalised least mean square
channel estimation
MC-IDMA
multicarrier interleave division multiple access systems
OFDM modulation
orthogonal frequency division multiplexing channels
least mean square algorithms
channel estimation scheme
R-RVSSNLMS
iterative channel estimation
ISSN:1751-9675, 1751-9683, 1751-9683
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Shrnutí:This study focuses on channel estimation scheme in multicarrier-interleave division multiple access (MC-IDMA)-based wireless communications. Specifically, a new adaptive algorithm is derived and proposed for implementation of the channel estimation in the MC-IDMA system. The proposed algorithm is named reweighted regularised variable step size normalised least mean square (R-RVSSNLMS). The proposed algorithm-based channel estimator exploits inherent sparsity in the orthogonal frequency division multiplexing channels in order to enhance its performance. Computer simulation results that show the comparison of the performance of the R-RVSSNLMS-based channel estimator with that of the channel estimators based on some families of least mean square algorithms are documented in this study. The results show that the performance of the proposed R-RVSSNLMS-based channel estimator is better than that of the other conventional estimators presented in this study. However, the proposed channel estimator exhibits negligible high computational complexity in comparison with other channel estimators considered in this study for the MC-IDMA system.
Bibliografie:ObjectType-Article-1
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ISSN:1751-9675
1751-9683
1751-9683
DOI:10.1049/iet-spr.2016.0008