DocumentCode
2171739
Title
The least-mean-magnitude-phase algorithm with applications to communications systems
Author
Douglas, Scott C. ; Mandic, Danilo P.
Author_Institution
LGT Corp., Dallas, TX, USA
fYear
2011
fDate
22-27 May 2011
Firstpage
4152
Lastpage
4155
Abstract
This paper presents the least-mean-magnitude-phase (LMMP) algorithm for adaptive signal processing of complex-valued signals. The algorithm employs a decomposition of the mean squared error cost and allows different normalized step sizes to be selected for the magnitude and phase errors. Simulations show that the algorithm is useful when either the amplitude or the phase relationship between the input and desired response signals can be accurately estimated.
Keywords
adaptive signal processing; least mean squares methods; LMMP algorithm; adaptive signal processing; communication system; least-mean-magnitude-phase algorithm; mean-squared error cost; Adaptation models; Adaptive signal processing; Algorithm design and analysis; Antenna arrays; Constellation diagram; Least squares approximation; Signal processing algorithms; Adaptive algorithm; adaptive equalizers; adaptive signal processing; adaptive systems; antenna arrays;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location
Prague
ISSN
1520-6149
Print_ISBN
978-1-4577-0538-0
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2011.5947267
Filename
5947267
Link To Document