Advanced Search

Show simple item record

dc.contributor.authorÖzden, Mehmet Tahir
dc.date.accessioned2021-06-05T19:57:09Z
dc.date.available2021-06-05T19:57:09Z
dc.date.issued2014
dc.identifier.isbn978-1-4799-3320-4
dc.identifier.issn2153-358X
dc.identifier.urihttps://hdl.handle.net/20.500.12960/444
dc.description0000-0003-2689-3188en_US
dc.descriptionWOS:000359380700051en_US
dc.description.abstractA range estimation method 14 cognitive MIMO-OFDM radio systems is considered in this presentation. The range estimation problem is formulated as time delay estimation problem, and then adapted as multiple channel estimation problem. The multiple channels are estimated by using sequential processing multichannel Givens lattice stages (SPMGLSs). A complete modified Grain-Schmidt orthogonalization of multichannel input data is accomplished, matrix operations are avoided, and only scalar operations are used. A highly modular, regular, and Vertical Bell Laboratories Layered Space Time (V-BLAST) type radio receiver architecture, that has a suitable structure for software defined radio implementations, is achieved, such that the same receiver structure can easily be reconfigured as an equalizer or a spectrum sensing lilter depending on mode of operation of cognitive radio. The dispersed cognitive radio spectrum is utilized by the multiple channels of the proposed method, the multiple thne delay estimates are joined together by equal combining method to attain a single time delay estimate, and the range estimate is subsequently computed from the combined time delay estimate. The performance of the proposed method under time-invariant and time-variant channel conditions, and also taking into consideration the inter-symbol interference ([SE) and interchannel interference effects (ICE) is presented by means of standard deviation and mean bias of range estimate vs. signal-to-noise ratio (SNR) curves, and compared with the Cramer Rao Lower Bound (CRLB) and with the performance of maximum likelihood (ML) method, implemented in each channel.en_US
dc.description.sponsorshipIEEE AESS, IONen_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartof2014 Ieee/Ion Position, Location and Navigation Symposium - Plans 2014en_US
dc.relation.ispartofIEEE/ION Position, Location and Navigation Symposium (PLANS) -- MAY 05-08, 2014 -- Monterey, CAen_US
dc.relation.ispartofseriesIEEE-ION Position Location and Navigation Symposium
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Keywords]en_US
dc.titleAdaptive Multichannel Sequential Lattice Prediction Filtering Method for Range Estimation in Cognitive Radiosen_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.startpage426en_US
dc.identifier.endpage433en_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