DocumentCode :
2704220
Title :
Research on Multi-mode Fusion Tracking of OTHR Based on Auction Algorithm
Author :
Min, Kong ; Guohong, ComWang
Author_Institution :
Res. Inst. of Inf. Fusion, Yantai
fYear :
2007
fDate :
15-19 Dec. 2007
Firstpage :
393
Lastpage :
396
Abstract :
In OTHR´s tracking system, we will estimate the state of a discrete-time, linear stochastic system whose observation process consists of a finite set of known, non-linear measurement models. MPDA is capable of exploiting multipath target signatures arising from discrete propagation modes that are resolvable by the radar, but it is very time-consuming and will bring multipath tracks. In this paper, a multi-mode fusion tracking of OTHR based on auction algorithm (A-MFT) is proposed, which effectively solve the problem of multi-mode measurements. When tracking a single and non-maneuvering target with four possible measurements, simulations in clutter environment show that the computing speed of the algorithm proposed in this paper is greatly higher than that of MPDA, and the tracking precision just a little lower than that of MPDA, further more, A-MFT will not bring multipath tracks and do not need consequent track association.
Keywords :
radar clutter; radar signal processing; sensor fusion; statistical analysis; target tracking; OTHR tracking system; auction algorithm; clutter environment; discrete propagation mode; discrete-time linear stochastic system; multimode fusion tracking; multipath target tracking; nonlinear measurement model; over-the-horizon radar; state estimation; statistical analysis; Clutter; Computational intelligence; Information security; Ionosphere; Radar scattering; Radar tracking; Roentgenium; State estimation; Stochastic systems; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-0-7695-3073-4
Type :
conf
DOI :
10.1109/CISW.2007.4425517
Filename :
4425517
Link To Document :
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