DocumentCode :
1907241
Title :
De-ghosting and target extraction algorithm analysis for the PCL-PET fusion system
Author :
Lamentowski, Leszek ; Brenner, Tadeusz ; Nieszporski, Maciej
Author_Institution :
PIT-RADWAR S.A., Warsaw, Poland
fYear :
2015
fDate :
24-26 June 2015
Firstpage :
48
Lastpage :
53
Abstract :
The topic of data fusion on the level of plots in a multistatic, multiband netted radar is widely recognized as a topic of interest in the radar community. PCL-PET system currently under development in PIT-RADWAR S.A. is an example of such approach. Earlier analyses have shown, that unique capabilities provided by the two types of the passive sensors will greatly enchance parameters of the combined sensor. The plot correlation and de-ghosting algorithm has proven to be the most computationally complex problem in the PCL-PET fusion. In this paper we present some remarks concerning the nature of this computational complexity along with results of simulations showing complexity scaling with the changing simulation parameters. We also present our simulation software being developed for further analysis of the topic.
Keywords :
feature extraction; radar target recognition; sensor fusion; PCL-PET fusion system; PIT-RADWAR; computational complexity; data fusion; deghosting algorithm; multiband netted radar; passive sensors; plot correlation; radar community; simulation software; target extraction algorithm analysis; Correlation; Positron emission tomography; Radar tracking; Receivers; Sensor systems; Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Symposium (IRS), 2015 16th International
Conference_Location :
Dresden
Type :
conf
DOI :
10.1109/IRS.2015.7226361
Filename :
7226361
Link To Document :
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