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