Tracking analysis of the constant modulus algorithm

Recently, we proposed a model for the steady-state estimation error of real-valued constant-modulus-based algorithms as a function of the a priori error and of a term that measures the variability in the modulus of the transmitted signal. In this paper, we extend this model to complex-valued data an...

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Published in2008 IEEE International Conference on Acoustics, Speech and Signal Processing pp. 3561 - 3564
Main Authors Silva, M.T.M., Nascimento, V.H.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2008
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ISBN9781424414833
1424414830
ISSN1520-6149
DOI10.1109/ICASSP.2008.4518421

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Abstract Recently, we proposed a model for the steady-state estimation error of real-valued constant-modulus-based algorithms as a function of the a priori error and of a term that measures the variability in the modulus of the transmitted signal. In this paper, we extend this model to complex-valued data and use it in conjunction with the feedback analysis method to obtain an analytical expression for the steady-state excess mean-square error (EMSE) of the Constant Modulus Algorithm (CMA). Such expression is more accurate for larger step-sizes than the previous ones in the literature, as confirmed by the good agreement between analytical and simulation results. Furthermore, from the EMSE expression, we obtain an estimate for the CMA step-size interval to ensure its convergence and stability, when it is initialized sufficiently close to the zero-forcing solution.
AbstractList Recently, we proposed a model for the steady-state estimation error of real-valued constant-modulus-based algorithms as a function of the a priori error and of a term that measures the variability in the modulus of the transmitted signal. In this paper, we extend this model to complex-valued data and use it in conjunction with the feedback analysis method to obtain an analytical expression for the steady-state excess mean-square error (EMSE) of the Constant Modulus Algorithm (CMA). Such expression is more accurate for larger step-sizes than the previous ones in the literature, as confirmed by the good agreement between analytical and simulation results. Furthermore, from the EMSE expression, we obtain an estimate for the CMA step-size interval to ensure its convergence and stability, when it is initialized sufficiently close to the zero-forcing solution.
Author Nascimento, V.H.
Silva, M.T.M.
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Snippet Recently, we proposed a model for the steady-state estimation error of real-valued constant-modulus-based algorithms as a function of the a priori error and of...
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StartPage 3561
SubjectTerms Adaptive filters
Algorithm design and analysis
blind equalization
Blind equalizers
Constant Modulus Algorithm
energy conservation
Estimation error
Feedback
Finite impulse response filter
Performance analysis
Stability
Steady-state
Systems engineering and theory
tracking analysis
Title Tracking analysis of the constant modulus algorithm
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