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Fusion center with neural network for target detection in background clutter
Puebla, Mexico September 26-September 30
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ENC.2005.21Sixth Mexican International Conferenc ...
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Santos Lopez-Estrada, Rene Cumplido, "Fusion center with neural network for target detection in background clutter," Mexican International Conference on Computer Science, pp. 189-197, Sixth Mexican International Conference on Computer Science (ENC'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/ENC.2005.21,
author = {Santos Lopez-Estrada and Rene Cumplido},
title = {Fusion center with neural network for target detection in background clutter},
journal ={Mexican International Conference on Computer Science},
volume = {0},
year = {2005},
issn = {1550-4069},
pages = {189-197},
doi = {http://doi.ieeecomputersociety.org/10.1109/ENC.2005.21},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Mexican International Conference on Computer Science
TI - Fusion center with neural network for target detection in background clutter
SN - 1550-4069
SP189
EP197
A1 - Santos Lopez-Estrada,
A1 - Rene Cumplido,
PY - 2005
KW - null
VL - 0
JA - Mexican International Conference on Computer Science
ER -
 
Santos Lopez-Estrada, National Institute for Astrophysics, Optics and Electronics, Mexico
Rene Cumplido, National Institute for Astrophysics, Optics and Electronics, Mexico
Analysis of radar signals for target detection in background clutter involves the use of different algorithms. These algorithms provide different levels of detection probability and false alarms as a function of the clutter present. This paper provides a solution to the problem of selecting the appropriate algorithm for target detection in background clutter with high probability of detection and low false alarms. The approach is based in parallel execution of CA-CFAR (Cell Averaging Constant False Alarm Rate), GO-CFAR (Greatest Off) and SOCFAR (Smallest Off) algorithms and a fusion center based on a neural network with different fusion rules. Results with simulated and real data are presented and discussed.
Citation:
Santos Lopez-Estrada, Rene Cumplido, "Fusion center with neural network for target detection in background clutter," enc, pp.189-197, Sixth Mexican International Conference on Computer Science (ENC'05), 2005
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