Title : 
MIMO radar imaging of targets behind multilayered walls using compressive sensing
         
        
            Author : 
Hoorfar, Ahmad ; Wenji Zhang
         
        
            Author_Institution : 
Dept. of Electr. & Comput. Eng., Villanova Univ., Villanova, PA, USA
         
        
        
        
        
        
            Abstract : 
In this work we present some of our recent work on using compressive sensing (CS) in radar imaging of targets behind multilayered walls using a combination of multi-input multi-output (MIMO) radar and compressive sensing (CS). To account for the wall effects, the layered media Green´s functions are used in forming the image. The sparseness of the target space is then exploited through the use of CS to achieve a less cluttered and high resolution image with far fewer antennas and frequency point measurements. Results are presented to show the effectiveness of the method.
         
        
            Keywords : 
Green´s function methods; MIMO radar; compressed sensing; radar antennas; radar imaging; MIMO radar imaging; antenna; compressive sensing; frequency point measurement; layered media Green´s functions; multilayered wall; multiple input multiple output; target space sparseness; Compressed sensing; Frequency measurement; Imaging; MIMO radar; Radar antennas; Radar imaging; Receivers; Compressive sensing; Green´s functions; MIMO radar; Multilayered wall; TWRI;
         
        
        
        
            Conference_Titel : 
Applied Computational Electromagnetics (ACES), 2015 31st International Review of Progress in
         
        
            Conference_Location : 
Williamsburg, VA