TY - JOUR
T1 - Blind equalization of constant modulus signals via restricted convex optimization
AU - Maričić, B.
AU - Luo, Z. Q.
AU - Davidson, T. N.
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2001
Y1 - 2001
N2 - In this paper, we formulate the blind equalization of Constant Modus (CM) signals as a convex optimization problem. This is done by performing an algebraic transformation on the direct formulation of the equalization problem and then restricting the set of design variables to a subset of the original feasible set. In particular, we express the blind equalization problem as a linear objective function subject to some linear and semidefiniteness constraints. Such Semidefinite Programs (SDPs) can be efficiently solved using interior point methods. Simulations indicate that our method performs better than the standard methods, whilst requiring significantly fewer data samples.
AB - In this paper, we formulate the blind equalization of Constant Modus (CM) signals as a convex optimization problem. This is done by performing an algebraic transformation on the direct formulation of the equalization problem and then restricting the set of design variables to a subset of the original feasible set. In particular, we express the blind equalization problem as a linear objective function subject to some linear and semidefiniteness constraints. Such Semidefinite Programs (SDPs) can be efficiently solved using interior point methods. Simulations indicate that our method performs better than the standard methods, whilst requiring significantly fewer data samples.
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M3 - Conference article
AN - SCOPUS:0034849179
SN - 1520-6149
VL - 4
SP - 2169
EP - 2172
JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
T2 - 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing
Y2 - 7 May 2001 through 11 May 2001
ER -