Title :
Weighted ACMA [array processing algorithm]
Author :
Van der Veen, Alle-Jan
Author_Institution :
Dept. of Electr. Eng., Delft Univ. of Technol., Netherlands
fDate :
6/21/1905 12:00:00 AM
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.761374
