DocumentCode :
1797011
Title :
Group sparsity based wideband DOA estimation for co-prime arrays
Author :
Qing Shen ; Wei Liu ; Wei Cui ; Siliang Wu ; Zhang, Yimin D. ; Amin, Moeness G.
Author_Institution :
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
fYear :
2014
fDate :
9-13 July 2014
Firstpage :
252
Lastpage :
256
Abstract :
A novel wideband direction-of-arrival (DOA) estimation method is proposed for co-prime arrays. After decomposing the wideband signals into different frequencies/subbands through a discrete Fourier transform or, more generally, a filter bank system, the increased degrees of freedom provided by co-prime arrays are fully exploited with a group sparsity based signal reconstruction method. Simulation results show that this novel method can distinguish much more sources than the number of physical sensors. Compared with the existing narrowband DOA estimation method for co-prime arrays, the proposed wideband method achieves a significant performance improvement.
Keywords :
array signal processing; channel bank filters; direction-of-arrival estimation; discrete Fourier transforms; group theory; signal reconstruction; co-prime arrays; degrees of freedom; discrete Fourier transform; filter bank system; group sparsity based signal reconstruction method; group sparsity based wideband DOA estimation; physical sensors; wideband direction-of-arrival estimation method; wideband signal decomposition; Direction-of-arrival estimation; Estimation; Frequency estimation; Narrowband; Sensor arrays; Wideband;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4799-5401-8
Type :
conf
DOI :
10.1109/ChinaSIP.2014.6889242
Filename :
6889242
Link To Document :
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