Performance investigation of adaptive filter algorithms and their implementation for MIMO systems

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dc.contributor.authorLo Ming, Jengisen
dc.date.accessioned2008-09-07T22:07:49Z
dc.date.available2008-09-07T22:07:49Z
dc.date.issued2005en
dc.description.abstractThe Group Research department in Tait Electronics has a reconfigurable platform for MIMO research. In particular, the platform has an adaptive multivariate DFE with the LMS algorithm currently implemented. The LMS algorithm has been simulated and optimised for implementation on the FPGA. The main objective of the research is to investigate an alternative, the RLS algorithm by comparing its performance to the LMS algorithm. The RLS algorithm is known to be more complex than the LMS algorithm but offers the potential for improved performance due to its fast-converging nature. This thesis provides a performance investigation of these adaptive filter algorithms on the MIMO system for the purpose of real-time implementation on the Tait platform. In addition to performance investigation, stability analysis and a feasibility study is shown for the RLS algorithm on the FPGA. The research is industry based and is supported by FRST.en
dc.identifier.urihttp://hdl.handle.net/10092/1136
dc.identifier.urihttp://dx.doi.org/10.26021/1912
dc.language.isoen
dc.publisherUniversity of Canterbury. Electrical and Computer Engineeringen
dc.relation.isreferencedbyNZCUen
dc.rightsCopyright Jengis Lo Mingen
dc.rights.urihttps://canterbury.libguides.com/rights/thesesen
dc.subjectLMSen
dc.subjectRLSen
dc.subjectMIMOen
dc.subjectDFEen
dc.subjectAdaptive Filtersen
dc.subjectFPGAen
dc.subjectReal-timeen
dc.titlePerformance investigation of adaptive filter algorithms and their implementation for MIMO systemsen
dc.typeTheses / Dissertations
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorUniversity of Canterburyen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Engineeringen
uc.bibnumber1050040en
uc.collegeFaculty of Engineeringen
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