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
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Radar Symposium, 2006. IRS 2006. International
         
        
            Conference_Location : 
Krakow, Poland
         
        
            Print_ISBN : 
978-83-7207-621-2
         
        
        
            DOI : 
10.1109/IRS.2006.4338046