Title : 
Direction-of-arrival and polarization estimation based on sparse sensing
         
        
            Author : 
Wei Cui ; Yalong Jiang ; Hangtian Liu ; Jing Tian ; Qing Shen ; Shuang Wu ; Zixiang Wei
         
        
            Author_Institution : 
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
         
        
        
        
        
        
            Abstract : 
This paper discusses how to acquire an estimation of DOA(Direction of Arrival) and polarimetric parameters of arriving sources with high accuracy, for polarimetric array is seldom used till now, and even when it is used, it is still hard to acquire an estimation with high accuracy. We apply CS-based method instead of traditional methods to find solutions for the mathematical model of polarimetric arrays, and we also propose an improvement to it. Finally, we use simulations to verify that CS-based method and our improvement are really useful and the accuracy is high, and practical applications are also discussed.
         
        
            Keywords : 
compressed sensing; direction-of-arrival estimation; polarimetry; CS-based method; DOA estimation; direction-of-arrival estimation; mathematical model; polarimetric array; polarimetric parameters; polarization estimation; sparse sensing; Accuracy; Arrays; Computational complexity; Estimation; Mathematical model; Sensors; Signal to noise ratio; Compressed Sensing; Direction of Arrival(DOA); L-shaped; polarimetric array;
         
        
        
        
            Conference_Titel : 
Signal Processing (ICSP), 2014 12th International Conference on
         
        
            Conference_Location : 
Hangzhou
         
        
        
            Print_ISBN : 
978-1-4799-2188-1
         
        
        
            DOI : 
10.1109/ICOSP.2014.7015033