Elgammal, Khaled WalidTuran, Berke CanBedir, OğuzÇelebi, HasariQaraqe, Marwa K.Özdemir, Mehmet Kemal2024-05-232024-05-232023Elgammal, K. W., Turan, B. C., Bedir, O., Çelebi, H., Qaraqe, M. K. ve Özdemir, M. K. (2023). Theoretical limits of soop tdoa localization of unmanned systems with imperfect synchronization. IEEE 28th International Workshop on Computer-Aided Modeling and Design of Communication Links and Networks, CAMAD içinde (158-163. ss.). Edinburgh, Scotland, November 6-8, 2023. http://dx.doi.org/10.1109/CAMAD59638.2023.1047840297983503034902378-48652378-4873http://dx.doi.org/10.1109/CAMAD59638.2023.10478402https://hdl.handle.net/20.500.12511/12493Self-localization is of crucial importance to Unmanned Aerial Vehicle (UAV) industry. Localization systems such as the Global Positioning System (GPS) are prone to jamming and spoofing. Localization using the Signal-Of-Opportunity (SoOP) gained much attention recently as an alternative to typical localization systems. We consider a general scenario where a receiver deployed on a mobile UAV finds its location based on Time Difference Of Arrival (TDOA) measurements with a number of unsynchronized reference Base Station (BS) receivers using signals from unsynchronized transmitters. The UAV has relative time offsets and clock skews with the BSs. We derive the Cramer-Rao Lower Bound (CRLB) of the UAV location and relative skews. Then, we plot them for Phase Alternating Line (PAL) analog TV transmission as SoOP.eninfo:eu-repo/semantics/openAccessLine-Of-SightLOSNon-GPSReceiver Self-LocalizationSignals Of OpportunitySoopTDOAUAVTheoretical limits of soop tdoa localization of unmanned systems with imperfect synchronizationConference Object15816310.1109/CAMAD59638.2023.10478402N/A0011961003000272-s2.0-85190550974N/A