DocumentCode :
3680433
Title :
Amplitude based sensor tasking for multi-target search and track
Author :
Kevin Schultz;Anshu Saksena;Dennis Lucarelli
Author_Institution :
Applied Physics Laboratory, Johns Hopkins University, Laurel, Maryland 20723
fYear :
2012
Firstpage :
185
Lastpage :
190
Abstract :
A search and track problem where multiple sensors with a variety of modalities are being used to track an unknown number of targets is considered here. The primary comparison is between a traditional range and bearing measurement model and one that additionally considers amplitude of return using a radar cross section (RCS) target model. Using the UK-PHD filter to handle the nonlinear measurement models, it is shown that using an RCS target model results in more accurate state estimates and a reduced number of track dwells, thus devoting more time to searching for targets. Additionally, the use of an RCS model also results in improved clutter rejection further increasing the observed differences in track accuracy and refresh rate.
Keywords :
"Target tracking","Clutter","Radar tracking","Noise measurement","Signal to noise ratio","Linear programming"
Publisher :
ieee
Conference_Titel :
Waveform Diversity & Design Conference (WDD), 2012 International
Type :
conf
DOI :
10.1109/WDD.2012.7311277
Filename :
7311277
Link To Document :
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