dc.contributor.author |
Shu, F |
en |
dc.contributor.author |
Wang, M |
en |
dc.contributor.author |
Chen, Q |
en |
dc.contributor.author |
Shu, F |
en |
dc.contributor.author |
You, X |
en |
dc.contributor.author |
Zhao, J |
en |
dc.contributor.author |
Berber, Stevan |
en |
dc.date.accessioned |
2017-08-03T04:40:44Z |
en |
dc.date.issued |
2012 |
en |
dc.identifier.citation |
SCIENCE CHINA Information Sciences 55(11):2604-2610 2012 |
en |
dc.identifier.issn |
1674-733X |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/34752 |
en |
dc.description.abstract |
A time-domain (TD) least square (LS) channel estimator is first proposed to estimate channel parameters of OFDM system with IQ imbalances at both transmitter and receiver. Then, an iterative shrinkage (IS) algorithm from compressed sensing is adopted to further improve the estimation performance by using the TD-LS solution as the initial value of IS in the case of sparse channel. Simulation shows that our algorithm combining TD-LS and IS performs better on bit error rate than the frequency-domain LS and matching pursuit in sparse Hilly Terrain channel when the same LS equalizer is adopted. © 2012 Science China Press and Springer-Verlag Berlin Heidelberg. |
en |
dc.publisher |
Zhongguo Kexue Zazhishe/Science in China Press |
en |
dc.relation.ispartofseries |
SCIENCE CHINA Information Sciences |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.title |
An efficient sparse channel estimator combining time-domain LS and iterative Shrinkage for OFDM systems with IQ-imbalances |
en |
dc.type |
Journal Article |
en |
dc.identifier.doi |
10.1007/s11432-012-4691-7 |
en |
pubs.issue |
11 |
en |
pubs.begin-page |
2604 |
en |
pubs.volume |
55 |
en |
dc.rights.holder |
Copyright: SCIENCE CHINA Information Sciences |
en |
pubs.end-page |
2610 |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.subtype |
Article |
en |
pubs.elements-id |
361742 |
en |
pubs.org-id |
Engineering |
en |
pubs.org-id |
Department of Electrical, Computer and Software Engineering |
en |
dc.identifier.eissn |
1869-1919 |
en |
pubs.record-created-at-source-date |
2017-08-03 |
en |