DocumentCode :
231507
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
fYear :
2014
fDate :
19-23 Oct. 2014
Firstpage :
383
Lastpage :
388
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location :
Hangzhou
ISSN :
2164-5221
Print_ISBN :
978-1-4799-2188-1
Type :
conf
DOI :
10.1109/ICOSP.2014.7015033
Filename :
7015033
Link To Document :
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