DocumentCode :
3151879
Title :
An Integrative Processing Algorithm of Passive Detection and Tracking
Author :
Bo, You ; MingMin, Zhang
Author_Institution :
Dept. of Electron. Eng., Naval Univ. of Eng., Wuhan
Volume :
1
fYear :
2006
fDate :
4-6 Oct. 2006
Firstpage :
113
Lastpage :
116
Abstract :
An integrative algorithm of passive detection and tracking of underwater moving target based on the co-processing algorithm of matched-field and long time integration is proposed. The probabilistic data association technique is introduced into the co-processing algorithm. First constitute the test statistic and then calculate the posterior data association probability to establish the information fed back from the tracker to the detector. On the process of detecting and tracking, the single model method and the multiple models method are used to simulate the moving state of the target. The integrative algorithm is proved effective by the data from the experiment on the sea
Keywords :
probability; signal detection; target tracking; underwater sound; integrative processing algorithm; long time integration; matched-field coprocessing algorithm; multiple models method; passive detection; passive tracking; posterior data association probability; probabilistic data association; single model method; underwater moving target; Information filtering; Information filters; Matched filters; Motion detection; Sea measurements; Signal processing; Target tracking; Time measurement; Trajectory; Underwater tracking; Long Time Integration; Matched-Field processing; detection; integrative; tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Engineering in Systems Applications, IMACS Multiconference on
Conference_Location :
Beijing
Print_ISBN :
7-302-13922-9
Electronic_ISBN :
7-900718-14-1
Type :
conf
DOI :
10.1109/CESA.2006.4281635
Filename :
4281635
Link To Document :
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