Title :
DOA estimation of multi-band signals using a sparse signal reconstruction method
Author :
Terada, Tsubasa ; Nishimura, T. ; Ogawa, Y. ; Ohgane, Takeo
Author_Institution :
Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan
Abstract :
A method to estimate direction of arrival (DOA) of multi-band signals is proposed in this paper. The authors apply the compressed sensing theory which can reconstruct sparse data in a few measurements, to multi-band signals. Compared to various DOA estimation methods, this approach has produced a considerable improvement of DOA estimation accuracy. Moreover, this proposal can estimate more waves than the degrees of freedom of the array.
Keywords :
compressed sensing; direction-of-arrival estimation; signal reconstruction; DOA estimation methods; compressed sensing theory; degrees of freedom; direction of arrival estimation method; multiband signal; sparse signal reconstruction method; Accuracy; Arrays; Compressed sensing; Direction-of-arrival estimation; Estimation; Receiving antennas; Vectors;
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2013 IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-5315-1
DOI :
10.1109/APS.2013.6711092
