Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Yang, Zheng‐Bin"'
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Li, Li-Li1 (AUTHOR), Wang, Qiao-Yan2 (AUTHOR) wqyanqq@126.com, Yang, Hong-Pei2 (AUTHOR), Tao, Yong-Xiang2 (AUTHOR), Wang, Lan-Xin2 (AUTHOR), Yang, Zheng-Bin2 (AUTHOR), Campos-Arceiz, Ahimsa1 (AUTHOR), Quan, Rui-Chang1 (AUTHOR) quanrc@xtbg.ac.cn
Publikováno v:
Oryx. Jul2023, Vol. 57 Issue 4, p532-539. 8p.
Publikováno v:
Guihaia. May2016, Vol. 36 Issue 5, p629-631. 3p.
Publikováno v:
IEEE Conference Anthology.
Dual satellite TDOA/FDOA localization scheme has problems of multiple ambiguous solutions and poor localization results in the sub-satellite area along the dual satellite baseline direction. Passive localization using TDOA and FDOA measurements usual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de37f3bc1b8ae4433dc680541a48f52a
https://doi.org/10.1109/anthology.2013.6784815
https://doi.org/10.1109/anthology.2013.6784815
Publikováno v:
ACIS-ICIS
Passive localization using TDOA and FDOA measurements usually does not have direct solution and requires numerical methods to determine the emitter's geolocation. We examine a satellite passive localization method based on particle swarm optimization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b59ddab97490867469e5f94a07239e9
https://doi.org/10.1109/icis.2011.47
https://doi.org/10.1109/icis.2011.47
Publikováno v:
2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE).
In this paper, passive localization from a single satellite is addressed. Passive localization is a typical nonlinear filtering and optimal estimation problem, and usually suffers large initial estimation error and low observability. When localizing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2db35440056f83e57eb7113c27363e35
https://doi.org/10.1109/icacte.2010.5579441
https://doi.org/10.1109/icacte.2010.5579441
Publikováno v:
2007 International Conference on Wireless Communications, Networking and Mobile Computing.
The interacting multiple model (IMM) algorithm is combined with the square root unscented Kalman filter (SRUKF), and explored to track maneuvering emitter with a single passive observer, which processes Doppler frequency changing rate and angle measu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::090ba580085405c1c13e78b9b56cd5d7
https://doi.org/10.1109/wicom.2007.254
https://doi.org/10.1109/wicom.2007.254
Publikováno v:
2007 International Conference on Microwave and Millimeter Wave Technology.
Passive localization by a single observer, is a typical nonlinear and non-Gaussian filtering problem, and often suffers large initial estimation error, low observability and limited achievable measurements. Particle filter provides a means to achieve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7920b2008dcc34a2be73992e1b3c234
https://doi.org/10.1109/icmmt.2007.381436
https://doi.org/10.1109/icmmt.2007.381436
Publikováno v:
2006 CIE International Conference on Radar.
The unscented transformation (UT) based interacting multiple model (IMM) algorithm is explored to handle maneuvering emitter tracking by a single passive observer, which processes Doppler frequency changing rate and angle measurements concurrently, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29c246d1d345a2e99829e14b6d696604
https://doi.org/10.1109/icr.2006.343461
https://doi.org/10.1109/icr.2006.343461