@inproceedings{6eccf705c13a490fb451084f76be935e,
title = "Performance enhancement of ℓ0-LS approximation in sparse underwater channel estimation",
abstract = "Finding efficient methods to communicate over underwater acoustic channels that suffer from multipath, attenuation, noise, frequency selectivity and Doppler effect has been a challenge. A multipath underwater acoustic channel can be seen as a sparse system, whose impulse response contains many zeros and very few large coefficients. As stated in the compressive sensing theory, the actual measure of sparsity is the ℓ0-norm. Though, minimizing the ℓ0-norm is an untraceable problem. Consequently, the ℓ0-LS approximation with major reduction in computational complexity is proposed. This paper study the approximation of the ℓ0-LS on sparse underwater channels{\textquoteright} estimation. Also it presents the performance enhancement of using such approximation on the underwater sparse channel estimation.",
author = "S. Jimaa and L. Weruaga and Shimamura, {T. A.} and A. AlAli and D. AlAkil and S. Albraiky and J. AlAli",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Singapore 2018.; 4th iCatse Conference on Mobile and Wireless Technology, ICMWT 2017 ; Conference date: 26-06-2017 Through 29-06-2017",
year = "2018",
doi = "10.1007/978-981-10-5281-1_18",
language = "British English",
isbn = "9789811052804",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "166--175",
editor = "Nikolai Joukov and Kim, {Kuinam J.}",
booktitle = "Mobile and Wireless Technologies 2017 - ICMWT 2017",
address = "Germany",
}