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
Link To Document :
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