DocumentCode :
592641
Title :
Optimal right inverse of flat rectangular MIMO system with individual channel power constraints
Author :
Shenpeng Li ; Jingxin Zhang
Author_Institution :
Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, VIC, Australia
fYear :
2012
fDate :
10-13 Dec. 2012
Firstpage :
3839
Lastpage :
3844
Abstract :
This paper is concerned with finding the right inverse for the discrete time systems with flat rectangular transfer function matrix and individual channel power constraints. Such problem arises from various areas in control, signal processing and telecommunications. The difficulty of the problem stems from the complexity in obtaining a convex expression of the individual channel power constraints in the state space. This paper solves this problem by converting the constraints to nonlinear matrix inequalities and then linear matrix inequalities, and derives an effective method for computing the optimal right inverse system that simultaneously maximizes the gain coefficient and satisfies the individual channel power constraints. An application example is presented to show the effectiveness and advantage of the derived method and its usefulness in solving real application problems.
Keywords :
MIMO systems; discrete time systems; linear matrix inequalities; optimal systems; transfer function matrices; LMI; convex expression; discrete time systems; flat rectangular MIMO system; gain coefficient; individual channel power constraints; linear matrix inequalities; nonlinear matrix inequalities; optimal right inverse system; real application problems; signal processing; telecommunications; transfer function matrix; Linear matrix inequalities; MIMO; Optimization; Power generation; Signal to noise ratio; Transfer functions; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
ISSN :
0743-1546
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2012.6427036
Filename :
6427036
Link To Document :
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