Title : 
Multistatic image entropy based autofocus
         
        
            Author : 
Brisken, Stefan ; Martorella, Marco ; Worms, Josef G.
         
        
            Author_Institution : 
Fraunhofer Inst. for High Freq. Phys. & Radar Tech., Wachtberg, Germany
         
        
        
        
        
        
        
            Abstract : 
We introduce a multistatic extension of the popular image entropy based ISAR autofocus algorithm. Instead of only estimating the target´s range history, the new method is capable to estimate the full trajectory. It is not subject to geometrical limitations nor is coherency in the signal return between different sensors required. The efficiency of the new method is proved with experimental data.
         
        
            Keywords : 
entropy; radar imaging; synthetic aperture radar; ISAR autofocus algorithm; multistatic extension; multistatic image entropy; Entropy; History; Radar imaging; Receivers; Sensors; Trajectory; Transmitters;
         
        
        
        
            Conference_Titel : 
Radar Symposium (IRS), 2013 14th International
         
        
            Conference_Location : 
Dresden
         
        
            Print_ISBN : 
978-1-4673-4821-8