Blind channel equalization in the presence of co-channel interference using higher order statistics

Simple item page
dc.contributor.authorKapilan, B
dc.contributor.authorWang, G
dc.contributor.authorRazul, SG
dc.contributor.authorTing, SK
dc.contributor.authorSee, CM
dc.date.accessioned2018-06-06T00:59:16Z
dc.date.available2018-06-06T00:59:16Z
dc.date.issued2017
dc.description.abstractThis paper proposes an improved blind channel equalization method based on the generalized eigenvector algorithm (GEA). The new method can extract the desired signal in the presence of strong co-channel interference. The basic idea underlying the improved GEA method is that by exploiting higher order statistics that is sensitive to frequency offset, blind equalizer can be designed to equalize the desired signal with known frequency offset while suppressing the interference with a different frequency offset. Simulation results are given to demonstrate the effectiveness of the proposed method.en_US
dc.identifier.conferenceMoratuwa Engineering Research Conference - MERCon 2017en_US
dc.identifier.departmentDepartment of Electronic & Telecommunication Engineeringen_US
dc.identifier.emailbalagobalankapilan@gmail.comen_US
dc.identifier.emailguowang@ntu.edu.sgen_US
dc.identifier.facultyEngineeringen_US
dc.identifier.placeMoratuwa, Sri Lankaen_US
dc.identifier.urihttp://dl.lib.mrt.ac.lk/handle/123/13145
dc.identifier.year2017en_US
dc.language.isoenen_US
dc.subjectBlind channel equalizationen_US
dc.subjectChannel equalization
dc.subjectCo-channel interference
dc.subjecthigher order statistics
dc.titleBlind channel equalization in the presence of co-channel interference using higher order statisticsen_US
dc.typeConference-Abstracten_US

Files

Collections

MERCon - 2017