Title:
Distortion-based crest factor reduction algorithms in multi-carrier transmission systems

Simple item page
dc.contributor.advisor Zhou, G. Tong
dc.contributor.author Zhao, Chunming en_US
dc.contributor.committeeMember Kenney, J. Stevenson
dc.contributor.committeeMember Li, Ye (Geoffrey)
dc.contributor.committeeMember Ma, Xiaoli
dc.contributor.committeeMember Yuan, Ming
dc.contributor.department Electrical and Computer Engineering en_US
dc.date.accessioned 2009-01-22T15:42:59Z
dc.date.available 2009-01-22T15:42:59Z
dc.date.issued 2007-11-12 en_US
dc.description.abstract Distortion-based crest factor reduction (CFR) algorithms were studied in orthogonal frequency division multiplexing (OFDM) and multiple-input multiple-output (MIMO) OFDM systems to reduce the nonlinear distortion and improve the power efficiency of the transmitter front-end. First, definitions of peak-to-average-power ratio (PAR) were clarified based on the power efficiency improvement consideration in the MIMO-OFDM systems. Next, error vector magnitude (EVM) was used as the in-band performance-evaluating metric. Statistical analysis of EVM was performed to provide concrete thresholds for the amount of allowable distortions from each source to meet EVM requirements in the standard. Furthermore, an effective CFR technique, constrained clipping, was proposed to drastically reduce the PAR while satisfying any given in-band EVM and out-of-band spectral mask constraints. Constrained clipping has low computational complexity and can be easily extended to the multiple-user OFDM environment. Finally, signal-to-noise-and-distortion ratio (SNDR) analysis for transceiver nonlinearities in the additive white Gaussian noise channel was investigated. An analytical solution was presented for maximizing the transceiver SNDR for any given set of nonlinear transmitter polynomial coefficients. Additionally, mutually inverse pair of transceiver nonlinearities was shown to be SNDR-optimal only in the noise-free case. en_US
dc.description.degree Ph.D. en_US
dc.identifier.uri http://hdl.handle.net/1853/26525
dc.publisher Georgia Institute of Technology en_US
dc.subject Peak-to-average power ratio en_US
dc.subject Crest factor en_US
dc.subject Orthogonal frequency division multiplexing en_US
dc.subject Error vector magnitude en_US
dc.subject.lcsh Signal processing
dc.subject.lcsh Algorithms
dc.subject.lcsh Wireless communication systems
dc.subject.lcsh MIMO systems
dc.title Distortion-based crest factor reduction algorithms in multi-carrier transmission systems en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Zhou, G. Tong
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication c02ccf1b-685f-47ca-a5ee-5996d39ede3d
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
zhao_chunming_200712_phd.pdf
Size:
1.2 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Theses and Dissertations