Impact of MIMO Transmission on CAF-Based Geolocation

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dc.contributor.authorOverfield, Jacob Ivanen
dc.contributor.committeechairBuehrer, R. Michaelen
dc.contributor.committeememberRuohoniemi, J. Michaelen
dc.contributor.committeememberReed, Jeffrey H.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2015-04-29T08:03:57Zen
dc.date.available2015-04-29T08:03:57Zen
dc.date.issued2013-08-27en
dc.description.abstractThe Cross Ambiguity Function (CAF) is often used for passive geolocation of an emitter based on the time difference of arrival (TDOA) and frequency difference of arrival (FDOA) of the received signals. CAF performance has been thoroughly investigated in regards to traditional single-input single-output (SISO) signals. Little is known about how the CAF will respond to signals from multiple-input multiple-output (MIMO) systems which utilize multiple antennas. This thesis focuses on characterizing the CAF's magnitude distribution in order to determine the probability of correctly determining the correct TDOA/FDOA bin, and the resulting impact on geolocation. The received signals are studied in the presence of additive white Gaussian noise (AWGN) as well as multi-channel propagation effects such as phase ambiguities and offsets due to multi-antenna transmission. Two and four transmit antennas using either a form of spatial multiplexing or space-time block coding are the focus of this work because they are mostly commonly found in currently deployed communication systems. The effects of these transmit schemes are studied with respect to TDOA/FDOA error and the resulting position error. The analysis is performed using a detection theory framework as opposed to estimation theory in order to empha- size the impact of MIMO transmission on determining the correct TDOA/FDOA bin. A simple method using the CAF magnitude as a decision statistic is also presented so that TDOA/FDOA errors can be detected and filtered in an attempt to improve positioning estimates.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:1114en
dc.identifier.urihttp://hdl.handle.net/10919/51857en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectMIMOen
dc.subjectSISOen
dc.subjectCAFen
dc.subjectCross Ambiguity Functionen
dc.subjectComplex Ambiguity Functionen
dc.subjectGeolocationen
dc.subjectTDOAen
dc.subjectDifferential Delayen
dc.subjectFDOAen
dc.titleImpact of MIMO Transmission on CAF-Based Geolocationen
dc.typeThesisen
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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