@inproceedings{hamm_simulated_2005,
	title = {Simulated {Performance} {Analysis} of a {Composite} {Vector} {Tracking} and {Navigation} {Filter}},
	url = {http://www.ion.org/publications/abstract.cfm?jp=p&articleID=6241},
	abstract = {This paper presents an alternative GPS signal tracking method which uses an extended Kalman-Bucy filter in place of traditional independent, parallel tracking loops. Furthermore, this method is extended into a combined tracking and navigation filter coupled with inertial aiding. This approach reduces filter design complexity significantly and allows for optimal navigation performance in a variety of conditions. Specifically, the proposed method is demonstrated under high dynamics while experiencing significant levels of jamming. A simulation in a single-axis configuration was used to compare the proposed method to an existing aided fixed-gain method to ascertain the expected level of anti-jam performance as well as immunity to dynamic stress. Results from this simulation indicate a nominal expected positioning performance improvement of 5 meters with improvements of up to 25 meters in some cases. A simulation comparing IMU’s of differing grades was also run to ascertain the proposed method’s dependence upon inertial sensor quality.},
	language = {en},
	urldate = {2024-06-20},
	author = {Hamm, Christopher R. and Bevly, David M.},
	month = sep,
	year = {2005},
	pages = {478--487},
}

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