DocumentCode
3462562
Title
Fast and High-Resolution PCL Radar Detection in Noisy Environment
Author
Bayat, S. ; Emadi, M. ; Mousavi, M.R. ; Jafargholi, A. ; Nayebi, M.M.
Author_Institution
Tarbiat Modares University, Department of Electrical Engineering, P. O. Box: 14155-4838, TEHRAN, IRAN. e-mail: bayats@modares.ac.ir
fYear
2006
fDate
24-26 May 2006
Firstpage
1
Lastpage
5
Abstract
Multiple target detection in conventional PCL (Passive Coherent Location) radar systems by means of Ambiguity Function Processing and without any powerful algorithm is impossible. Presented Gradual Clean Algorithm (GCA) is a new and simple method, which could provide the perfect detection in noisy environment and heavy clutter condition up to SNR=-15 dB and SCR=-100 dB (clutter is assumed as a distributed target with large RCS). Determining the number of real targets and keeping the false alarm probability approximately constant are the presented algorithm capabilities.
Keywords
Object detection; Passive radar; Radar clutter; Radar cross section; Radar detection; Radar scattering; Radar signal processing; Signal processing; Signal processing algorithms; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Symposium, 2006. IRS 2006. International
Conference_Location
Krakow, Poland
Print_ISBN
978-83-7207-621-2
Type
conf
DOI
10.1109/IRS.2006.4338046
Filename
4338046
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