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Sparsity-constraint LMS algorithms for time-varying UWB channel estimation
Solomon Nunoo
,
Uche A.K. Chude-okonkwo
, Razali Ngah
Universiti Teknologi Malaysia
University of Mines and Technology
Research output
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Article
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peer-review
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Citation (Scopus)
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Keyphrases
Channel Estimation
100%
LMS Algorithm
100%
UWB Channel
100%
Sparsity Constraint
100%
Performance Improvement
25%
Convergence Rate
25%
Penalty Term
25%
Indoor Environment
25%
Compressed Sensing
25%
Wideband Channel
25%
NLMS Algorithm
25%
L0 Norm
25%
Mean-square-error Performance
25%
Constraint Algorithm
25%
L1-norm
25%
Sparsity Measure
25%
Adaptive Channel Estimation
25%
Sparse Penalty
25%
Sensing Approach
25%
Computer Science
Sparsity
100%
Channel Estimation
100%
UWB antenna
100%
Performance Error
20%
Adaptive Channel
20%
Speed Convergence
20%
Compressive Sensing
20%
Norm Relaxation
20%
Ultra-Wideband
20%
Engineering
Channel Estimation
100%
Sparsity
100%
Simulation Result
20%
Error Performance
20%
Convergence Speed
20%
Ultra-Wideband
20%
Mean Square Error
20%
Compressive Sensing
20%