<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-18T21:28:14Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/113152" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/113152</identifier><datestamp>2026-06-06T00:55:06Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">James Ward.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Griffin, Joseph C</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2018-01-12T21:00:08Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2018-01-12T21:00:08Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2017</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2017</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/113152</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1018306927</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author.  The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from student-submitted PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (page 85).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Beamforming systems typically involve arrays of antenna elements with controllable spacing and little or no motion. However, a distributed beamforming system could leave array geometry and motion largely unconstrained. This work considers an airborne relay communication concept with multiple balloons in which the individual array elements act as relays to a receiver on the ground at a base station. The beamforming operation is performed at the receiver. The link between the relays and receiver suffers from a high bandwidth requirement. This thesis explores ways to reduce this bandwidth requirement by compressing the signals across the relays. A distributed compression algorithm is proposed and applied to both simulated and collected data. We conclude that a compression algorithm across the relays offers a substantial decrease in bit rate requirement, and that a preprocessing step can make the compression performance robust against differential delay and Doppler shifts across the array.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Joseph C. Griffin.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">85 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Exploring data compression for a distributed aerial relay application</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
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   	&lt;Title>Exploring data compression for a distributed aerial relay application&lt;/Title>
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   	&lt;PublicationDate>2017&lt;/PublicationDate>
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        	&lt;DisplayName>Griffin, Joseph C&lt;/DisplayName>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>Beamforming systems typically involve arrays of antenna elements with controllable spacing and little or no motion. However, a distributed beamforming system could leave array geometry and motion largely unconstrained. This work considers an airborne relay communication concept with multiple balloons in which the individual array elements act as relays to a receiver on the ground at a base station. The beamforming operation is performed at the receiver. The link between the relays and receiver suffers from a high bandwidth requirement. This thesis explores ways to reduce this bandwidth requirement by compressing the signals across the relays. A distributed compression algorithm is proposed and applied to both simulated and collected data. We conclude that a compression algorithm across the relays offers a substantial decrease in bit rate requirement, and that a preprocessing step can make the compression performance robust against differential delay and Doppler shifts across the array.&lt;/Abstract>
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