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dc.contributor.advisorFargues, Monique P.
dc.contributor.advisorCristi, Roberto
dc.contributor.authorLee, Woei Chieh
dc.dateMarch 2015
dc.date.accessioned2015-05-06T19:17:48Z
dc.date.available2015-05-06T19:17:48Z
dc.date.issued2015-03
dc.identifier.urihttp://hdl.handle.net/10945/45219
dc.description.abstractConventional separation techniques such as filters cannot be used in a scenario where a weak signal is embedded within a stronger signal in the same frequency band. An adaptive filter approach to recover a weak narrowband communication signal embedded in a strong wideband broadcast signal and additive noise is investigated by taking advantage of the known characteristics of the broadcast signal standard. The weak signal considered is a four–quadrature amplitude modulation (QAM) communication signal, and the stronger signal is a Digital Terrestrial Multimedia Broadcasting (DTMB) signal, which is the digital television standard for People’s Republic of China. The results show that, while the extraction of the weak signal is possible, the characteristics of the transmission channel must be very accurately estimated for the scheme to achieve a reasonable error rate.en_US
dc.description.urihttp://archive.org/details/extractionofweak1094545219
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsCopyright is reserved by the copyright owner.en_US
dc.titleExtraction of a weak co-channel interfering communication signal using adaptive filteringen_US
dc.typeThesisen_US
dc.contributor.departmentElectrical And Computer Engineering
dc.contributor.departmentElectrical And Computer Engineeringen_US
dc.subject.authorAdaptive filteren_US
dc.subject.authorsignal separationen_US
dc.description.serviceMilitary Expert 5, Republic of Singapore Navyen_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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