Title :
Noise attenuation over additive Gaussian channels
Author :
Li, Dapeng ; Hovakimyan, Naira
Author_Institution :
Dept. of Mech. Sci. & Eng., UIUC, Urbana, IL, USA
Abstract :
We address the noise attenuation problem for linear time-invariant (LTI) systems in the presence of Gaussian communication channels. A novel Linear Matrix Inequality (LMI) approach is formulated to solve the problem. A simulation example is discussed to verify the proposed solution.
Keywords :
AWGN channels; linear matrix inequalities; Gaussian communication channels; additive Gaussian channels; linear matrix inequality; linear time-invariant systems; noise attenuation; Attenuation; MIMO; Optimization; Signal to noise ratio; State feedback; Transfer functions;
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-7745-6
DOI :
10.1109/CDC.2010.5717502
