Advanced Search

Show simple item record

dc.contributor.authorÖzden, Mehmet Tahir
dc.date.accessioned2021-06-05T19:57:07Z
dc.date.available2021-06-05T19:57:07Z
dc.date.issued2012
dc.identifier.isbn978-1-4673-2015-3
dc.identifier.isbn978-1-4673-2016-0
dc.identifier.urihttps://hdl.handle.net/20.500.12960/440
dc.description0000-0003-2689-3188en_US
dc.descriptionWOS:000318856700152en_US
dc.description.abstractA multichannel characterization for autoregressive moving average(ARMA) spectrum estimation in subbands with applications to cognitive radio spectrum sensing is considered in this presentation. The fullband ARMA spectrum estimation can be realized in two-channels as a special form of this characterization. A complete or thogonalization of input multichannel data is accomplished using a modified form of sequential processing multichannel lattice stages. Matrix operations are avoided, only scalar operations are used, and a multichannel ARMA prediction filter with a highly modular and suitable structure for VLSI implementations is achieved. The filter is therefore considered as a good candidate for FPGA and DSP chip based spectrum sensing functions in software defined radio implementations. Lattice reflection coefficients for autoregressive and moving average parts are simultaneously computed. These coefficients are then converted to process parameters using a newly developed Levinson-Durbin type multichannel conversion algorithm, so that they can be utilized in the classification of the spectrum. Coarse and fine spectrum sensing can be accomplished using different prediction filter configurations. The computational complexity is given in terms of model order parameters. The performance of the proposed method is compared visually and statistically to that of the multitaper method.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartofIv International Congress on Ultra Modern Telecommunications and Control Systems 2012 (Icumt)en_US
dc.relation.ispartof4th International Congress on Ultra Modern Telecommunications and Control Systems (ICUMT) -- OCT 03-05, 2012 -- St Petersburg, RUSSIAen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Keywords]en_US
dc.titleAdaptive Multichannel Sequential Lattice Prediction Filtering Method For Cognitive Radio Spectrum Sensing in Subbandsen_US
dc.typeconferenceObjecten_US
dc.departmentMühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.department-tempPiri Reis Univ, TR-34940 Istanbul, Turkeyen_US
dc.contributor.institutionauthorÖzden, Mehmet Tahir
dc.identifier.startpage961en_US
dc.identifier.endpage968en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record