DocumentCode :
3513723
Title :
Simultaneous Track-to-Track Association and Bias Removal Using Multistart Local Search
Author :
Papageorgiou, Dimitri J. ; Sergi, John-David
Author_Institution :
Integrated Defense Syst., Raytheon Co., Woburn, MA
fYear :
2008
fDate :
1-8 March 2008
Firstpage :
1
Lastpage :
14
Abstract :
A fundamental problem in multisensor data fusion is associating data from different sensor systems in the presence of sensor bias, random errors, false alarms, and missed detections. In this paper, we address the problem of simultaneously performing track-to-track association and bias estimation. We describe a polynomial-time multistart local search heuristic for quickly generating a number of high quality bias-assignment hypotheses. Computational results are presented to illustrate our findings and to compare our proposed algorithm to its competitors. Numerous test cases suggest that our multistart heuristic is suitable for real-time application and offers a practical and important "middle ground" for this problem by balancing performance and computation time.
Keywords :
sensor fusion; bias removal; false alarms; missed detections; multisensor data fusion; multistart local search; random errors; sensor bias; sensor systems; simultaneous track-to-track association; Filtering; Fusion power generation; Niobium; Pattern matching; Polynomials; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Target tracking; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace Conference, 2008 IEEE
Conference_Location :
Big Sky, MT
ISSN :
1095-323X
Print_ISBN :
978-1-4244-1487-1
Electronic_ISBN :
1095-323X
Type :
conf
DOI :
10.1109/AERO.2008.4526430
Filename :
4526430
Link To Document :
بازگشت