@inproceedings{8cc9d8a713d94239afb555a8f8ace216,
title = "Sparse space-time equalization with L1 norm",
abstract = "Space-time adaptive equalizers are an important part of multiple-input multiple-output (MIMO) communication systems operating in multi-path environments. Traditional methods of producing adaptive equalizers using short training sequence lengths suffer performance loss, and do not take advantage of known properties of the channel, such as sparsity. We discuss an iterative shrinkage algorithm which utilizes the ℓ 1 norm as a procedure to estimate a sparse equalizer. We present simulation results of this algorithm and make comparisons to traditional methods.",
author = "Slivinski, {Laura C.} and Margetts, {Adam R.} and Bliss, {Daniel W.}",
year = "2011",
doi = "10.1109/ACSSC.2011.6190282",
language = "English (US)",
isbn = "9781467303231",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
pages = "1564--1568",
booktitle = "Conference Record of the 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011",
note = "45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011 ; Conference date: 06-11-2011 Through 09-11-2011",
}