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A New Method for the Estimation of GPS Repeater Jamming Based on Coloured Noise Kalman Filter

Published online by Cambridge University Press:  14 October 2011

Bin Tang
Affiliation:
(Beijing Global Information Center of Application and Exploration, Beijing 100094, China)
Weihen Dai
Affiliation:
(Institute of Communication Engineering, PLA University of Science and Technology, Nanjing 210007, China)
Weihua Xie
Affiliation:
(Beijing Global Information Center of Application and Exploration, Beijing 100094, China)
Haibo He
Affiliation:
(Beijing Global Information Center of Application and Exploration, Beijing 100094, China)
Corresponding

Abstract

The estimation of GPS repeater jamming plays an important role in modern military applications. In this paper, based on the maximum likelihood estimation (MLE) method, a new approach for the estimation of GPS repeater jamming using Kalman filtering with coloured observation noise is proposed. The state equation and observation equation of the Kalman filter with the coloured observation noise are deduced and the generation process explained. The recursive formula for the Kalman filter used to iteratively filter for the MLE output is also derived. Experimental results show that the new design has a better performance than the MLE; hence it can be used for the precise estimation of repeater jamming signals under the condition that the carrier-to-noise density ratio is below 20 dB-Hz.

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 2011

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References

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