DocumentCode
3490545
Title
Anti-Spoofing Extended Kalman Filter for Satellite Navigation Receiver
Author
Lin, Zhang ; Chu Haibin ; Zhang Naitong
Author_Institution
Sch. of Electron. & Inf. Technol., Harbin Inst. of Technol., Harbin
fYear
2007
fDate
21-25 Sept. 2007
Firstpage
996
Lastpage
999
Abstract
There is a threat to the satellite navigation receiver from satellite signal spoofing because traditional algorithms for navigation solution may not fulfill the accuracy requirements of continuous navigation with spoofing signals. Therefore, an anti- spoofing filter has been proposed for accurate navigation with the spoofing signals. In this approach, the conventional extended Kalman filter is modified using the weight matrix of robust M- estimator, which is improved to decrease the computational complexity with enough navigation accuracy. Simulation of traditional extended Kalman filter, snapshot least squares estimation and the proposed anti-spoofing M-estimator based extended Kalman filter suggests that the proposed M-estimator based extended Kalman filter could effectively eliminate the influence of spoofing signal to the navigation solution accuracy with low complexity to realize.
Keywords
Kalman filters; computational complexity; least squares approximations; nonlinear filters; satellite communication; anti-spoofing extended Kalman Filter; computational complexity; robust M- estimator; satellite navigation receiver; satellite signal spoofing; snapshot least squares estimation; Adaptive signal detection; Computational modeling; Filters; Interference; Jamming; Least squares approximation; Robustness; Satellite navigation systems; Signal processing; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1311-9
Type
conf
DOI
10.1109/WICOM.2007.255
Filename
4340030
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