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Abstrakt
The modulation accuracy described by an error vector magnitude is a critical parameter in modern communication systems — defined originally as a performance metric for transmitters but now also used in receiver design and for more general signal analysis. The modulation accuracy is a measure
of how far a test signal is from a reference signal at the symbol values when some parameters in a reconstruction model are optimized for best agreement. This paper provides an approach to computation of error vector magnitude as described in several standards from measured or simulated data. It is shown
that the error vector magnitude optimization problem is generally nonconvex. Robust estimation of the initial conditions for the optimizer is suggested, which is particularly important for a nonconvex problem. A Bender decomposition approach is used to separate convex and nonconvex parts of the problem to make the optimization procedure simpler and robust. A two step global optimization method is suggested where the global step is the grid method and the local method is the Newton method. A number of test cases are shown to illustrate the concepts.
of how far a test signal is from a reference signal at the symbol values when some parameters in a reconstruction model are optimized for best agreement. This paper provides an approach to computation of error vector magnitude as described in several standards from measured or simulated data. It is shown
that the error vector magnitude optimization problem is generally nonconvex. Robust estimation of the initial conditions for the optimizer is suggested, which is particularly important for a nonconvex problem. A Bender decomposition approach is used to separate convex and nonconvex parts of the problem to make the optimization procedure simpler and robust. A two step global optimization method is suggested where the global step is the grid method and the local method is the Newton method. A number of test cases are shown to illustrate the concepts.
Originalsprog  Engelsk 

Tidsskrift  I E E E Transactions on Communications 
Vol/bind  61 
Udgave nummer  2 
Sider (fratil)  648657 
Antal sider  10 
ISSN  00906778 
DOI  
Status  Udgivet  1 feb. 2013 
Fingeraftryk Dyk ned i forskningsemnerne om 'Robust Computation of Error Vector Magnitude for Wireless Standards'. Sammen danner de et unikt fingeraftryk.
Projekter
 1 Afsluttet

SparSig: Sparse Signal Processing in Wireless Communications (SparSig)
Larsen, T., Jensen, S. H., Arildsen, T., Fyhn, K., Pankiewicz, P. J., Li, P. & Jensen, T.
01/01/2010 → 27/09/2013
Projekter: Projekt › Forskning