DocumentCode :
497555
Title :
Target tracking in multi-static active sonar systems using dynamic programming and Hough transform
Author :
El-Jaber, Mohammad ; Osman, Abdalla ; Mellema, Garfield R. ; Nourledin, Aboelmagd
Author_Institution :
Electr. & Comput. Eng. Dept., Queen´´s Univ., Kingston, ON, Canada
fYear :
2009
fDate :
6-9 July 2009
Firstpage :
62
Lastpage :
69
Abstract :
Using multiple source-receiver combinations in sonar tracking systems in multistatic active sonar scenarios has been drawing a lot of attention. Significant challenges in tracking targets in this scenario are the large number of contacts acquired by the receivers, the high level of false alarm clutters and the uncertainty of the track hypothesis. Conventional tracking approaches (such as the Kalman filter) require a predetermined kinematic model of the target. This paper presents a rapid and reliable tracking algorithm for underwater targets in the multistatic active sonar scenario that combines the use of Self Organizing Maps, Dynamic Programming and the Hough transform, leaving aside the need for a target kinematic model. Results on simulated data demonstrating the improvement that can be achieved with the new method are also presented.
Keywords :
Hough transforms; dynamic programming; self-organising feature maps; sonar tracking; target tracking; Hough transform; dynamic programming; multi-static active sonar systems; multiple source-receiver combinations; multistatic active sonar scenarios; self organizing maps; sonar tracking systems; target tracking; Contacts; Dynamic programming; Educational institutions; Engineering drawings; Kinematics; Military computing; Self organizing feature maps; Sonar detection; Target tracking; Underwater tracking; Dynamic Programming; Hough transform; Multistatic Active Sonar; Target Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion, 2009. FUSION '09. 12th International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-0-9824-4380-4
Type :
conf
Filename :
5203647
Link To Document :
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