Show simple item record

dc.contributor.advisorHan, Zhu
dc.creatorMathews, Tina
dc.date.accessioned2014-12-18T14:30:53Z
dc.date.available2014-12-18T14:30:53Z
dc.date.createdDecember 2012
dc.date.issued2012-12
dc.identifier.urihttp://hdl.handle.net/10657/817
dc.description.abstractRadio channel impairment is a major concern in any wireless system. Channel estimation is performed at the receiver to obtain the channel response in order to calculate the multipath channel effects. However, the traditional way of using pilots for channel estimation has a tradeoff between spectral efficiency and estimation accuracy. An increasing amount of research is being done on a novel signal processing technique called compressive sensing and its applications in the modern day wireless systems for channel estimation. In this thesis, we can exploit the sparsity of the time domain channel by choosing the pilots randomly and building a random projection measurement matrix. This approach improves the channel estimation accuracy by conserving the bandwidth. This thesis investigates various modulation schemes in an open source software based radio development kit, GNU Radio for a wireless system and build a compressed sensing based channel estimator for the OFDM module on a Universal Software Radio Peripheral 2 (USRP2). Simulations for compressed channel sensing are conducted to prove the effectiveness over traditional channel estimation. The time domain based compressed channel estimator is implemented as a signal processing package in GNU Radio, and performance studies are done in the real-time system.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.subjectChannel Estimation
dc.subjectUSRP2
dc.subjectOFDM
dc.subjectCompressive Sensing
dc.subject.lcshElectrical engineering
dc.titleUSRP2 IMPLEMENTATION OF COMPRESSIVE SENSING BASED CHANNEL ESTIMATION IN OFDM
dc.date.updated2014-12-18T14:30:53Z
dc.type.genreThesis
thesis.degree.nameMaster of Science in Electrical Engineering
thesis.degree.levelMasters
thesis.degree.disciplineElectrical Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.departmentElectrical and Computer Engineering
dc.contributor.committeeMemberZheng, Rong
dc.contributor.committeeMemberCharlson, Earl J.
dc.type.dcmiText
dc.format.digitalOriginborn digital
dc.description.departmentElectrical and Computer Engineering
thesis.degree.collegeCullen College of Engineering


Files in this item


Thumbnail

This item appears in the following Collection(s)

Show simple item record