DocumentCode :
2144075
Title :
Broadband DOA Estimation by Beamforming with Suppression of Reverberation
Author :
Li, Xuan ; Ma, Xiaochuan ; Hou, Chaohuan
Author_Institution :
Inst. of Acoust., Chinese Acad. of Sci., Beijing
Volume :
1
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
18
Lastpage :
21
Abstract :
Acoustic signal processing in shallow water environments is a challenging problem because of the presence of reverberation. Based on some models of reverberation, data from sensors array is pretreated to suppress reverberation. Considering reverberation as a sum of echoes of transmitted signal, the principal component inverse (PCI) algorithm is operated by deleting the largest singulars of data matrix, which is reconstructed by array data. However, the amount of calculation is very large because the construction of data matrices is complex and singular decomposition is needed. In this paper, the construction is simplified. As a result, computing quantity of PCI is reduced. After PCI-pretreatment, broadband direction-of-arrival is estimated by diagonal loading beamforming. According to a simulation which takes broadband linear modulated frequency signal as transmitted signal, with PCI-pretreatment the performance of DOA estimation can be improved.
Keywords :
acoustic signal processing; array signal processing; direction-of-arrival estimation; matrix algebra; principal component analysis; sonar arrays; acoustic signal processing; broadband direction of arrival estimation; data matrix; diagonal loading beamforming; principal component inverse algorithm; reverberation suppression; sensors array; shallow water environments; Acoustic sensors; Acoustic signal processing; Array signal processing; Chirp modulation; Direction of arrival estimation; Frequency estimation; Matrix decomposition; Reverberation; Sensor arrays; Signal processing algorithms; DOA; PCI; reverberation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3119-9
Type :
conf
DOI :
10.1109/CISP.2008.550
Filename :
4566110
Link To Document :
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