Title :
Comparative analysis of sensors, algorithms, and models within a navigation system
Author :
Connolly, Laura A. ; Scheding, Steven
Author_Institution :
ARC Centre of Excellence for Autonomous Syst., Univ. of Sydney, Sydney, NSW
Abstract :
This paper presents a comparative analysis of a number of different components within a navigation filter. A discussion of how different sensors, mathematical models, and algorithms impact the performance of a navigation system is presented. The different components were implemented using a generic navigation filter architecture, the All-Source Navigation Filter. This architecture has been designed with the flexibility to allow an engineer to substitute different elements of a navigation system, such that it can provide an accurate solution for a range of conditions. A brief overview of the filter architecture is presented including details of a number of different elements that can be integrated within the system. An implementation of the ASNF is presented which operates on two different platforms each with a range of different sensors. Results are generated from a number of different filter configurations. Finally, discussions aided by position plots are presented that compare the effect of different configurations on the performance of the navigation solution.
Keywords :
filtering theory; navigation; sensors; all-source navigation filter; comparative analysis; navigation system; sensors; Algorithm design and analysis; Design engineering; Filtering algorithms; Filters; Intelligent sensors; Maintenance engineering; Mathematical model; Navigation; Sensor systems; Systems engineering and theory;
Conference_Titel :
Multisensor Fusion and Integration for Intelligent Systems, 2008. MFI 2008. IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-2143-5
Electronic_ISBN :
978-1-4244-2144-2
DOI :
10.1109/MFI.2008.4648103