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dc.contributor.advisorRomero, Ric Α.
dc.contributor.advisorHa, Tri T.
dc.contributor.authorMylonas, Ioannis
dc.dateSep-13
dc.date.accessioned2016-03-03T23:26:30Z
dc.date.available2016-03-03T23:26:30Z
dc.date.issued2013-09
dc.identifier.urihttp://hdl.handle.net/10945/48123
dc.description.abstractIn this thesis, a single-input-multiple-output (SIMO) wireless antenna network is investigated in terms of its performance. We analyze the system with regard to the number of receive-transmit antennas (Rx-Tx) and other network parameters such as noise, interferences, channel taps and gain factors. We derive the diversity signal-to-interference-and-noise ratio (SINR) expression initially for each individual Rx and then for the whole system. Afterwards, four distributive adaptive beamforming techniques are proposed and described in detail. Each one uses a different gain selection combining (SC) rule, and we propose one of them as the most efficient, a technique that provides a satisfactory combined SINR (SINRC) with the least number of channel taps used. Then we use detection fundamentals and probability theory to derive an expression for the average probability of signal detection (dP) for asingle Rx. Considering two of our parameters (the channel tap vector and the gain factor) as being random variables (RVs), we perform a double averaging procedure over the two RVs’ probability density functions to derive dPformulas. Two cases are studied followed by their respective dP plots and comparisons. Finally, two modulation techniques are employed, and following the same averaging procedure, we derive bit error ratio (BER) formulas and plot various BER curves. This analysis provides quantitative results with regard to BER improvement techniques.en_US
dc.description.urihttp://archive.org/details/adaptivebeamform1094548123
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.rightsCopyright is reserved by the copyright owner.en_US
dc.titleAdaptive beamforming techniques for mitigating interference in wireless networksen_US
dc.typeThesisen_US
dc.contributor.secondreaderCristi, Roberto
dc.contributor.departmentElectrical and Computer Engineering
dc.subject.authorNoiseen_US
dc.subject.authorInterferenceen_US
dc.subject.authorAdaptive Beamformingen_US
dc.subject.authorMatched Filter (MF),Single-Input-Multiple-Output (SIMO)en_US
dc.subject.authorMultiple-Input-Multiple-Output (MIMO)en_US
dc.subject.authorMaximal Ratio Combining (MRC)en_US
dc.subject.authorGeneralized Selection Combining (GSC)en_US
dc.subject.authorRandom Variable (RV)en_US
dc.subject.authorProbability Density Function (pdf)en_US
dc.subject.authorProbability of signal detection (Pd)en_US
dc.subject.authorProbability of Bit error (BER or Pb)en_US
dc.subject.authorSignal-to-Noise Ratio (SNR)en_US
dc.subject.authorSignal-to-Interference-and-Noise Ratio (SINR)en_US
dc.description.serviceLieutenant Junior Grade, Hellenic Navyen_US
etd.thesisdegree.nameElectrical Engineeren_US
etd.thesisdegree.nameMaster of Science in Electrical Engineeringen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineElectrical Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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