@unpublished{hamm_analysis_2005,
	type = {Thesis},
	title = {Analysis of {Simulated} {Performance} of {Integrated} {Vector} {Tracking} and {Navigation} {Loops} for {GPS}},
	url = {https://etd.auburn.edu//handle/10415/378},
	abstract = {An alternative GPS signal tracking method that uses an extended Kalman-Bucy filter in place of traditional independent, parallel tracking loops is presented in this thesis. Furthermore, this method is extended into a combined tracking and navigation filter coupled with inertial sensors. This approach significantly reduces filter design complexity  and allows for optimal navigation performance in a variety of conditions. Specifically, the proposed method is demonstrated under high dynamic platform motion 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 in order 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. Additionally, increased jamming immunity of 17 dB J/S was seen in the simulations. A simulation comparing IMU's of differing grades was also run to ascertain the proposed method's dependence upon inertial sensor quality.},
	language = {en\_US},
	urldate = {2024-06-25},
	author = {Hamm, Christopher},
	month = dec,
	year = {2005},
	note = {Accepted: 2008-09-09T21:17:11Z},
}

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