DocumentCode
1639224
Title
Research on track fusion in radar networking
Author
You, He ; Yunlong, Dong ; Guohong, Wang ; Dong, Li
Author_Institution
Res. Inst. of Inf. Fusion, Naval Aeronaut. Eng. Inst.
Volume
1
fYear
2005
Firstpage
334
Abstract
Distributed multisensor integration methods are always proposed ignored the system errors of the sensors, which degrade the precision of the fusion greatly. In this paper we discussed the influence of the system errors to the precision of the multisensor fusion, and then presented an algorithm based on maximum likelihood model, which can implement fusion and registration altogether. Simulations show that the precision of this method is superior to the original method greatly. Since the system errors are estimated by the maximum likelihood, fusion can also be implement after registration, simulations show the precision of this method is inferior to the maximum likelihood fusion, somewhat
Keywords
maximum likelihood estimation; radar tracking; sensor fusion; distributed multisensor integration methods; maximum likelihood estimation; multisensor fusion; radar networking track fusion; sensor system errors; Aerospace engineering; Azimuth; Equations; Intelligent networks; Maximum likelihood estimation; Radar measurements; Radar tracking; Sensor fusion; Sensor systems; Tellurium;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2005. MAPE 2005. IEEE International Symposium on
Conference_Location
Beijing
Print_ISBN
0-7803-9128-4
Type
conf
DOI
10.1109/MAPE.2005.1617917
Filename
1617917
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