Neural Network Algorithm for Installation Error Identification Based on Bearing-only Target Motion Analyses

Autor:	Zhong Liu, Lin Wen, Xuezhi Fu, Yasong Luo
Rok vydání:	2009
Předmět:	Identification (information) Bearing (mechanical) Artificial neural network Computer science law Installation Error Real-time computing Bearing (navigation) Motion (physics) Simulation law.invention
Zdroj:	Advances in Neural Networks – ISNN 2009 ISBN: 9783642015069 ISNN (1)
DOI:	10.1007/978-3-642-01507-6_101
Popis:	It is quite strict with the degree of installation precision of photo-electricity device (PED) carried by unmanned aerial vehicle (UAV) when conducting bearing-only target motion analyses (BTMA), because of the existence of the installation error of PED, the precision of target location is bound to be affected. In order to solve this problem mentioned above, a neural network algorithm for installation error identification based on BTMA is put forward in this paper, consulting the target surveillance technology of PED to identify the installation error thought neural network algorithm, which is worthy to be put into practical applications.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::489257d31e9ba775125349a9dffb3b3c https://doi.org/10.1007/978-3-642-01507-6_101 Zobrazit plný text záznamu