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 :
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