An efficient sparse channel estimator combining time-domain LS and iterative shrinkage for OFDM systems with IQ-imbalances

DOI10.1007/s11432-012-4691-7zbMath1270.94052OpenAlexW2085300780MaRDI QIDQ362199

Stevan Berber, Junhui Zhao, Feng Shu, Mao Wang, Xiaohu You, Qi'an Chen

Publication date: 20 August 2013

Published in: Science China. Information Sciences (Search for Journal in Brave)

Full work available at URL: http://engine.scichina.com/doi/10.1007/s11432-012-4691-7

zbMATH Keywords

time-domainchannel estimationiterative shrinkageleast squareIQ imbalance

Mathematics Subject Classification ID

Channel models (including quantum) in information and communication theory (94A40)

Cites Work

• Linearly time-varying channel estimation and training power allocation for OFDM/MIMO systems using superimposed training
• Sparse and Redundant Representations
• From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
• Sparse Channel Estimation for Multicarrier Underwater Acoustic Communication: From Subspace Methods to Compressed Sensing
• Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation