Show simple item record

dc.contributor.advisorTummala, Murali
dc.contributor.authorDonovan, Michael T.
dc.dateDecember, 1996
dc.date.accessioned2013-04-30T22:04:01Z
dc.date.available2013-04-30T22:04:01Z
dc.date.issued1996-12
dc.identifier.urihttps://hdl.handle.net/10945/31971
dc.description.abstractModern digital communication systems are being called upon to move ever increasing amounts of information over decreasingly available bandwidth. This requires that communication systems employ bandwidth-efficient modulation schemes to conserve bandwidth while moving the information at higher data rates. A major stumbling block to using higher order modulation schemes in long haul communication is the distortion caused by high power amplifiers. These high power amplifiers are required to amplify the signal power to a level that will allow distant receivers to correctly demodulate and decode the information. The distortion caused by the high power amplifiers can render a modulation scheme unusable due to the high symbol error rates which result from the extensive skewing of the modulation scheme's signal constellation. This thesis details a predistortion technique using Volterra series approximation techniques to model the inverse of the high power amplifier's distortion characteristics. A 64 Quadrature Amplitude Modulation (64-QAM) system incorporating a predistorter is used to demonstrate the ability to achieve acceptable bit error rates. The implementation of the inverse model and the communication system is performed in MATLAB. The results show the viability of predistortion of digital data to allow the higher order modulation schemes to be incorporated into communication schemes, increasing the overall data rate while conserving bandwidth.en_US
dc.description.urihttp://archive.org/details/predistortionofq1094531971
dc.format.extentviii, 87 p.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.titlePredistortion of quadrature amplitude modulation signals using Volterra series approximationen_US
dc.typeThesisen_US
dc.description.recognitionNAen_US
dc.description.serviceU.S. Army (USA) authoren_US
etd.thesisdegree.nameM.S. 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.


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record