DocumentCode
549094
Title
Target positioning and tracking in degenerate geometry
Author
Yang, Chun ; Kaplan, Lance ; Blasch, Erik ; Bakich, Michael
Author_Institution
Sigtem Technol., Inc., San Mateo, CA, USA
fYear
2011
fDate
5-8 July 2011
Firstpage
1
Lastpage
8
Abstract
This paper analyzes the effects of special target-sensor geometries, particularly, some degenerate cases (near singular observation matrix), on the performance of target positioning and tracking. A scenario of practical significance is when two or more sensors form nearly parallel line of sight (LOS) vectors to targets. Examples include netted radars that happen to line up their observations in azimuth. Such encounter geometry is degenerate for conventional methods. In this paper, we first analyze conventional estimates in such degenerate geometry and then describe three adapted methods, namely, a geometric 1D solution for 2D scenarios, a reduced-order least squares method, and a subspace least squares method. Simulation results are presented to compare the methods. The analysis provides the basis for active sensor management performance prediction and optimization via sensor placement/ assignment.
Keywords
least squares approximations; matrix algebra; radar tracking; sensor placement; target tracking; active sensor management performance prediction; netted radars; reduced-order least square method; sensor assignment; sensor placement; singular observation matrix; subspace least squares method; target positioning; target tracking; target-sensor geometry; Geometry; Least squares methods; Matrix decomposition; Maximum likelihood estimation; Noise; Sensors; Target tracking; Active sensor management; Degenerate geometry; Performance prediction; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on
Conference_Location
Chicago, IL
Print_ISBN
978-1-4577-0267-9
Type
conf
Filename
5977529
Link To Document