caa a22 4500 463206703 CHVBK 20180405153128.0 cr unu---uuuuu 170326e20070301xx s 000 0 eng 10.1007/s00202-006-0004-8 doi (NATIONALLICENCE)springer-10.1007/s00202-006-0004-8 Unbiased Estimation of Atmosphere Attenuation Coefficient [Elektronische Daten] [G. Dikic, Z. Djurovic] According to the passive sensors' nature, only the azimuth and elevation angles are used for the target state estimation. In some scenarios, additional information like the irradiances generated by the passive sensors must be introduced to improve the estimation process. On the other hand, irradiances are strongly dependent on the atmosphere properties that may be described by attenuation coefficient. An algorithm for unbiased attenuation coefficient estimation coupled with the appropriate extended Kalman filter is presented in this paper. Springer-Verlag, 2006 Atmosphere nationallicence Passive target tracking nationallicence Unbiased estimator nationallicence Kalman filtering nationallicence Dikic G. Military Academy, Ratka Resanovica 1, Belgrade, Serbia and Montenegro aut Djurovic Z. Faculty of Electrical Engineering, Bulevar Kralja Aleksandra 73, Belgrade, Serbia and Montenegro aut Electrical Engineering Springer-Verlag 89/4(2007-03-01), 343-347 0948-7921 89:4<343 2007 89 202 https://doi.org/10.1007/s00202-006-0004-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00202-006-0004-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Dikic G. Military Academy, Ratka Resanovica 1, Belgrade, Serbia and Montenegro aut NATIONALLICENCE 700 1- Djurovic Z. Faculty of Electrical Engineering, Bulevar Kralja Aleksandra 73, Belgrade, Serbia and Montenegro aut NATIONALLICENCE 773 0- Electrical Engineering Springer-Verlag 89/4(2007-03-01), 343-347 0948-7921 89:4<343 2007 89 202 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer