DOA estimation method for wideband color signals based on least-squares Joint Approximate Diagonalization

Author

Yip, L. ; Chen, C.E. ; Hudson, R.E. ; Yao, K.

Author_Institution

Dept. of Electr. Eng., UCLA, Los Angeles, CA

fYear

2008

fDate

21-23 July 2008

Firstpage

104

Lastpage

107

Abstract

Direction of arrival (DOA) estimation is one of the major task in many acoustic array signal processing applications. In this work, we show that a modified joint approximate diagonlization (MJAD) method utilizing temporal structure of the wideband color signals can outperform the conventional wideband DOA estimation method such as approximate maximum likelihood (AML) and coherent signal-subspace processing(CSSP).

Keywords

acoustic signal processing; array signal processing; direction-of-arrival estimation; least squares approximations; maximum likelihood estimation; DOA estimation method; acoustic array signal processing applications; approximate maximum likelihood; coherent signal-subspace processing; least squares joint approximate diagonalization; modified joint approximate diagonlization method; wideband color signals; Acoustic arrays; Array signal processing; Data models; Direction of arrival estimation; Maximum likelihood estimation; Sensor arrays; Signal processing; Signal processing algorithms; Source separation; Wideband;

fLanguage

English

Publisher

ieee

Conference_Titel

Sensor Array and Multichannel Signal Processing Workshop, 2008. SAM 2008. 5th IEEE

Conference_Location

Darmstadt

Print_ISBN

978-1-4244-2240-1

Electronic_ISBN

978-1-4244-2241-8

Type

conf

DOI

10.1109/SAM.2008.4606834

Filename

4606834