DocumentCode :
178297
Title :
Doa estimation exploiting coprime arrays with sparse sensor spacing
Author :
Zhang, Yimin D. ; Si Qin ; Amin, Moeness G.
Author_Institution :
Center for Adv. Commun., Villanova Univ., Villanova, PA, USA
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
2267
Lastpage :
2271
Abstract :
In this paper, we propose effective coprime array configurations in which the minimum interelement spacing is much larger than the typical half-wavelength requirement. Such configurations are important in many applications where the half-wavelength requirement cannot be met due to the physical sensors size or to avoid spatial oversampling in wideband operations. The application of such coprime arrays in direction-of-arrival estimations is examined using different algorithms.
Keywords :
compressed sensing; direction-of-arrival estimation; DOA estimation; compressive sensing; coprime arrays; direction-of-arrival estimations; minimum interelement spacing; sparse sensor spacing; Antennas; Covariance matrices; Direction-of-arrival estimation; Estimation; Multiple signal classification; Sensor arrays; Vectors; Coprime array; compressive sensing; difference co-array; direction-of-arrival estimation; sparse array;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6854003
Filename :
6854003
Link To Document :
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