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dc.contributor.author
Castañeda Fernández, Oscar
dc.contributor.author
Tom Goldstein
dc.contributor.author
Studer, Christoph
dc.date.accessioned
2020-11-02T07:41:28Z
dc.date.available
2020-10-29T16:25:01Z
dc.date.available
2020-11-02T07:41:28Z
dc.date.issued
2018-03
dc.identifier.issn
1549-8328
dc.identifier.issn
1057-7122
dc.identifier.issn
1558-0806
dc.identifier.other
10.1109/tcsi.2017.2756821
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/448655
dc.identifier.doi
10.3929/ethz-b-000448655
dc.description.abstract
Channel estimation errors have a critical impact on the reliability of wireless communication systems. While virtually all existing wireless receivers separate channel estimation from data detection, it is well known that joint channel estimation and data detection (JED) significantly outperforms conventional methods at the cost of high computational complexity. In this paper, we propose a novel JED algorithm and corresponding VLSI designs for large single-input multiple-output (SIMO) wireless systems that use constant-modulus constellations. The proposed algorithm is referred to as PRojection Onto conveX hull (PrOX) and relies on biconvex relaxation (BCR), which enables us to efficiently compute an approximate solution of the maximum-likelihood JED problem. Since BCR solves a biconvex problem via alternating optimization, we provide a theoretical convergence analysis for PrOX. We design a scalable, high-throughput VLSI architecture that uses a linear array of processing elements to minimize hardware complexity. We develop corresponding field-programmable gate array (FPGA) and application-specific integrated circuit (ASIC) designs, and we demonstrate that PrOX significantly outperforms the only other existing JED design in terms of throughput, hardware-efficiency, and energy-efficiency.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
FPGA and ASIC designs
en_US
dc.subject
Joint channel estimation and data detection (JED)
en_US
dc.subject
Large single-input multiple-output (SIMO) wireless systems
en_US
dc.subject
Biconvex relaxation (BCR)
en_US
dc.title
VLSI Designs for Joint Channel Estimation and Data Detection in Large SIMO Wireless Systems
en_US
dc.type
Journal Article
dc.type
Journal Article
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2017-10-19
ethz.journal.title
IEEE Transactions on Circuits and Systems I: Regular Papers
ethz.journal.volume
65
en_US
ethz.journal.issue
3
en_US
ethz.pages.start
1120
en_US
ethz.pages.end
1132
en_US
ethz.size
13 p.
en_US
ethz.version.deposit
acceptedVersion
en_US
ethz.publication.place
New York, NY
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02636 - Institut für Integrierte Systeme / Integrated Systems Laboratory::09695 - Studer, Christoph / Studer, Christoph
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02636 - Institut für Integrierte Systeme / Integrated Systems Laboratory::09695 - Studer, Christoph / Studer, Christoph
en_US
ethz.identifier.orcidWorkCode
73543772
ethz.relation.isNewVersionOf
10.3929/ethz-b-000448649
ethz.date.deposited
2020-10-29T16:25:10Z
ethz.source
FORM
ethz.eth
no
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-11-02T07:41:53Z
ethz.rosetta.lastUpdated
2022-03-29T03:52:09Z
ethz.rosetta.versionExported
true
ethz.COinS
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