A Comparison of the Performance of a Non-Coherent Deeply Integrated Navigation Algorithm and a Tightly Coupled Navigation Algorithm. Lashley, M. & Bevly, D. M. In pages 2123–2129, September, 2008.
A Comparison of the Performance of a Non-Coherent Deeply Integrated Navigation Algorithm and a Tightly Coupled Navigation Algorithm [link]Paper  abstract   bibtex   
In this paper, the authors compare the performance of a tightly coupled and a Deeply Integrated (DI) navigation algorithm at low Carrier to Noise power density ratios (C/N0). The purpose of the comparison is to ascertain the relative improvement in tracking ability from the DI architecture. In order to make a valid side by side comparison, the algorithms both use the same discriminator functions, signal amplitude estimation techniques, and noise power estimation techniques. The only major difference between the two algorithms is the manner in which their central Extended Kalman Filters (EKF) are updated with GPS measurements. The two algorithms are evaluated using Monte Carlo simulations in MATLAB. The C/N0 ratio is lowered incrementally in the simulations until each algorithm loses lock. From the simulations, the deeply integrated algorithm is shown to work at approximately 6 dB-Hz lower than the tightly coupled algorithm.
@inproceedings{lashley_comparison_2008,
	title = {A {Comparison} of the {Performance} of a {Non}-{Coherent} {Deeply} {Integrated} {Navigation} {Algorithm} and a {Tightly} {Coupled} {Navigation} {Algorithm}},
	url = {http://www.ion.org/publications/abstract.cfm?jp=p&articleID=8114},
	abstract = {In this paper, the authors compare the performance of a tightly coupled and a Deeply Integrated (DI) navigation algorithm at low Carrier to Noise power density ratios (C/N0). The purpose of the comparison is to ascertain the relative improvement in tracking ability from the DI architecture. In order to make a valid side by side comparison, the algorithms both use the same discriminator functions, signal amplitude estimation techniques, and noise power estimation techniques. The only major difference between the two algorithms is the manner in which their central Extended Kalman Filters (EKF) are updated with GPS measurements. The two algorithms are evaluated using Monte Carlo simulations in MATLAB. The C/N0 ratio is lowered incrementally in the simulations until each algorithm loses lock. From the simulations, the deeply integrated algorithm is shown to work at approximately 6 dB-Hz lower than the tightly coupled algorithm.},
	language = {en},
	urldate = {2024-06-20},
	author = {Lashley, Matthew and Bevly, David M.},
	month = sep,
	year = {2008},
	pages = {2123--2129},
}

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