Methodologies for Handling GPS Raw Measurements Noise: Unknown Noise Magnitude

M.F. Abdel-Hafez, W.R. Williamson and J.L. Speyery

Abstract:	A noise estimation approach is used to estimate the GPS pseudo range measurements' noise characteristics to account for un-modeled noise in case of unknown receiver noise or unknown added jamming or spoofing signals. The noise mean and covariance are estimated using two schemes: the limited memory noise estimator and the weighted limited memory noise estimator. The two schemes are compared and simulation results are presented to show the accuracy of the schemes in determining the noise characteristics. The schemes are integrated in a general extended Kalman filter estimation approach to first estimate the noise mean and covariance and then use the estimates in the extended Kalman filter to accurately estimate the receiver position, velocity, and attitude.
Published in:	Proceedings of the 18th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2005) September 13 - 16, 2005 Long Beach Convention Center Long Beach, CA
Pages:	2393 - 2400
Cite this article:	Abdel-Hafez, M.F., Williamson, W.R., Speyery, J.L., "Methodologies for Handling GPS Raw Measurements Noise: Unknown Noise Magnitude," Proceedings of the 18th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2005), Long Beach, CA, September 2005, pp. 2393-2400.
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