Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Sparse Channel Estimation in Wideband Systems With Geometric Sequence Decomposition

Authors
Lee, Woong-HeeSung, Ki Won
Issue Date
1월-2022
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Geometric sequence decomposition; sparse channel estimation; channel frequency response
Citation
IEEE WIRELESS COMMUNICATIONS LETTERS, v.11, no.1, pp.169 - 172
Indexed
SCIE
SCOPUS
Journal Title
IEEE WIRELESS COMMUNICATIONS LETTERS
Volume
11
Number
1
Start Page
169
End Page
172
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/136568
DOI
10.1109/LWC.2021.3123314
ISSN
2162-2337
Abstract
The sparsity of multipaths in the wideband channel has motivated the use of compressed sensing for channel estimation. In this letter, we propose a different approach to sparse channel estimation. We exploit the fact that L taps of channel impulse response in time domain constitute a non-orthogonal superposition of L geometric sequences in frequency domain. This converts the channel estimation problem into the extraction of the parameters of geometric sequences. Numerical results show that the proposed scheme is superior to existing algorithms in high signal-to-noise ratio (SNR) and large bandwidth conditions.
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > Department of Control and Instrumentation Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE