DocumentCode :
3536525
Title :
A Novel Track Correlation Algorithm for Radar Data Fusion
Author :
Wu, ZeMin
Author_Institution :
Inst. of Commun. Eng., PLAUST, Nanjing, China
fYear :
2011
fDate :
23-25 Sept. 2011
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, a novel topology sequence calculation method is proposed and applied to track correlation algorithm. Based on attribute of topology sequence, tracks from different sensors will be same when there are no errors in sensor´s measurement. In order to recognize track from blurred measurement, hypothesis verification is used. Detailed experimental results on such correlation algorithm confirm that topology sequence is robust to range and angle error of sensor measurement, not only including random error, but also including system error.
Keywords :
correlation methods; radar signal processing; sensor fusion; blurred measurement; correlation algorithm; hypothesis verification; radar data fusion; sensor measurement; topology sequence; topology sequence calculation method; track correlation algorithm; Correlation; Detectors; Noise; Radar tracking; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
Conference_Location :
Wuhan
ISSN :
2161-9646
Print_ISBN :
978-1-4244-6250-6
Type :
conf
DOI :
10.1109/wicom.2011.6036693
Filename :
6036693
Link To Document :
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