A New Approach to Estimate True Position of Unmanned Aerial Vehicles in an INS/GPS Integration System in GPS Spoofing Attack Conditions

doi:10.1007/s11633-018-1137-8

CORC > 自动化研究所 > 中国科学院自动化研究所 > 学术期刊 > International Journal of Automation and Computing

	A New Approach to Estimate True Position of Unmanned Aerial Vehicles in an INS/GPS Integration System in GPS Spoofing Attack Conditions
	Mohammad Majidi 3; Alireza Erfanian 2; Hamid Khaloozadeh 1
刊名	International Journal of Automation and Computing
	2018
卷号	15 期号:6 页码:747-760
关键词	Inertial navigation system (INS)/global positioning system (GPS) integration unmanned aerial vehicles (UAVs) position estimation spoofing particle based filters.
ISSN号	1476-8186
DOI	10.1007/s11633-018-1137-8
英文摘要	This paper presents a new approach to estimate the true position of an unmanned aerial vehicle (UAV) in the conditions of spoofing attacks on global positioning system (GPS) receivers. This approach consists of two phases, the spoofing detection phase which is accomplished by hypothesis test and the trajectory estimation phase which is carried out by applying the adapted particle filters to the integrated inertial navigation system (INS) and GPS. Due to nonlinearity and unfavorable impacts of spoofing signals on GPS receivers, deviation in position calculation is modeled as a cumulative uniform error. This paper also presents a procedure of applying adapted particle swarm optimization filter (PSOF) to the INS/GPS integration system as an estimator to compensate spoofing attacks. Due to memory based nature of PSOF and benefits of each particle′s experiences, application of PSOF algorithm in the INS/GPS integration system leads to more precise positioning compared with general particle filter (PF) and adaptive unscented particle filer (AUPF) in the GPS spoofing attack scenarios. Simulation results show that the adapted PSOF algorithm is more reliable and accurate in estimating the true position of UAV in the condition of spoofing attacks. The validation of the proposed method is done by root mean square error (RMSE) test.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/42449]
专题	自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位	1.Faculty of Electrical Engineering, K.N.Toosi University of Technology, Tehran 16315-1355, Iran 2.Faculty of Electrical Engineering, Malek-Ashtar University of Technology, Tehran 15875-1774, Iran 3.Department of Electrical Engineering, Malek-Ashtar University of Technology, Tehran 15875-1774, Iran
推荐引用方式 GB/T 7714	Mohammad Majidi,Alireza Erfanian,Hamid Khaloozadeh. A New Approach to Estimate True Position of Unmanned Aerial Vehicles in an INS/GPS Integration System in GPS Spoofing Attack Conditions[J]. International Journal of Automation and Computing,2018,15(6):747-760.
APA	Mohammad Majidi,Alireza Erfanian,&Hamid Khaloozadeh.(2018).A New Approach to Estimate True Position of Unmanned Aerial Vehicles in an INS/GPS Integration System in GPS Spoofing Attack Conditions.International Journal of Automation and Computing,15(6),747-760.
MLA	Mohammad Majidi,et al."A New Approach to Estimate True Position of Unmanned Aerial Vehicles in an INS/GPS Integration System in GPS Spoofing Attack Conditions".International Journal of Automation and Computing 15.6(2018):747-760.