Publication:
Double periodic arrays with applications

dc.contributor.advisor Moreno-de Ayala, Oscar
dc.contributor.author Ortiz-Ubarri, Jose R.
dc.contributor.college College of Engineering en_US
dc.contributor.committee Bollman, Dorothy
dc.contributor.committee Corrada Bravo, Carlos
dc.contributor.committee Rivera Vega, Pedro I.
dc.contributor.committee Orozco, Edusmildo
dc.contributor.department Department of Electrical and Computer Engineering en_US
dc.contributor.representative Periccho, Luis R.
dc.date.accessioned 2019-02-12T15:30:47Z
dc.date.available 2019-02-12T15:30:47Z
dc.date.issued 2010
dc.description.abstract Algebraic constructions of families of double periodic arrays with good autoand cross-correlation have been used for applications in frequency hopping radar and sonar, Optical Code Division Multiple Access, design of experiments, and more recently in Digital Watermarking. We need the family size of these constructions to be as large as possible to increase multiple user or multiple target detection capacity. In this work we introduce the concept of Group Permutable Constant Weight Codes and we extend the Johnson Bound, to bound the cardinality of families of binary and non-binary Group Permutable Constant Weight Codes. These bounds are used to prove the optimality of some of our new constructions of Double Periodic Arrays. We also present three methods to construct families of Double Periodic Arrays. A method to increase the weight of double periodic arrays (Method A). With this method we deal with the need of double periodic arrays with the weight as large as possible while maintaining a good correlation value. We present a new method to increase the size of families of double periodic arrays (Method B).There are only a few families of double periodic arrays with perfect correlation properties. In many cases the new constructions generated with Method B result in new families of double periodic arrays with perfect correlation properties and in all cases at least the original correlation properties are preserved. Finally we present a combination of Method A and Method B to produce new families of double periodic constructions with increased family size and weight (Method C). When Method C is applied to a double periodic array we obtain new Fuja type families of double periodic arrays with unequal correlation constrains. More specifically, we obtain new families of double periodic arrays with cross-correlation much lower than auto-correlation ( c < a). en_US
dc.description.graduationSemester Spring en_US
dc.description.graduationYear 2010 en_US
dc.description.sponsorship This work was partially supported by the High Performance Computing facility of the University of Puerto Rico under the PR AABRE grant #P20RR016470 from the National Institute of Health and the Gauss Research Laboratory under the SCORE grant #S06GM08102. en_US
dc.identifier.uri https://hdl.handle.net/20.500.11801/1805
dc.language.iso English en_US
dc.rights.holder (c) 2010 Jose R. Ortiz-Ubarri en_US
dc.rights.license All rights reserved en_US
dc.subject Periodic arrays en_US
dc.subject Array applications en_US
dc.title Double periodic arrays with applications en_US
dc.type Dissertation en_US
dspace.entity.type Publication
thesis.degree.discipline Computing and Information Sciences and Engineering en_US
thesis.degree.level Ph.D. en_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
CIIC_OrtizUbarriJ_2010.pdf
Size:
1.09 MB
Format:
Adobe Portable Document Format
Description: