Signal constellation design for Gaussian and non-Gaussian channels

dc.contributor.advisorJohnson, Don H.
dc.creatorLi, Dongmei
dc.date.accessioned2009-06-04T00:10:39Z
dc.date.available2009-06-04T00:10:39Z
dc.date.issued1995
dc.description.abstractOptimum signal constellation design is crucial to the design of high-performance digital communication systems. Variation in signal set can dramatically change the system performance. Our goal is to design constellations, yield high performance, and satisfy power and waveform constraints. In our investigation, we use the Kullback-Leibler distance as a system performance index to design optimal signal sets for additive Gaussian and non-Gaussian noise channels. We optimize this distance, and therefore detector performance, for M-component signal sets defined in an N-dimensional signal space while constraining signal waveform properties. We obtained optimal signal sets for several noise distributions with the power of the signal spanning across all SNR. Our approach can be generally extended to design signal sets for various channel environments.
dc.format.extent80 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS E.E. 1995 LI
dc.identifier.citationLi, Dongmei. "Signal constellation design for Gaussian and non-Gaussian channels." (1995) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/13970">https://hdl.handle.net/1911/13970</a>.
dc.identifier.urihttps://hdl.handle.net/1911/13970
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectElectronics
dc.subjectElectrical engineering
dc.titleSignal constellation design for Gaussian and non-Gaussian channels
dc.typeThesis
dc.type.materialText
thesis.degree.departmentElectrical Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
1377029.PDF
Size:
2.9 MB
Format:
Adobe Portable Document Format