Weighted ACMA [array processing algorithm]

Author

Van der Veen, Alle-Jan

Author_Institution

Dept. of Electr. Eng., Delft Univ. of Technol., Netherlands

Volume

5

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

2921

Abstract

The analytical constant modulus algorithm (ACMA) is a deterministic array processing algorithm to separate sources based on their constant modulus. It has been derived without detailed regard to noise processing. In particular, the estimates of the beamformer are known to be asymptotically biased. In the present paper, we investigate this bias, and obtain a straightforward weighting scheme that will whiten the noise and remove the bias. This leads to improved performance for larger data sets

Keywords

array signal processing; matrix algebra; noise; analytical constant modulus algorithm; asymptotically biased estimates; beamformer estimates; blind source equalization; blind source separation; constant modulus; data sets; deterministic array processing algorithm; matrices; noise processing; noise whitening; performance; weighted ACMA; Algorithm design and analysis; Array signal processing; Blind equalizers; Blind source separation; Convergence; Eigenvalues and eigenfunctions; Equations; Least squares approximation; Linear systems; Source separation;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-5041-3

Type

conf

DOI

10.1109/ICASSP.1999.761374

Filename

761374