DocumentCode :
2817490
Title :
Matrix decompositions for precoding and equalization of MIMO channel with ISI
Author :
Dvorakova, Ivana O. ; Makovy, Vladimir A. ; Malyutin, Alexandr A. ; Nechaev, Yuriy B.
Author_Institution :
Voronezh State Univ., Voronezh, Russia
fYear :
2012
fDate :
3-4 July 2012
Firstpage :
132
Lastpage :
135
Abstract :
This paper sets out a modification of algorithms for calculation QR and SVD decomposition of polynomial matrix into matrix with elements in the form of rational functions, which is equivalent to the use of IIR, instead of FIR filters in the suitable procedures of processing and generation of the signal. The proposed approach can reduce calculating cost of decomposition procedure and further signal processing, primarily by reducing the degree of polynomials, which form the elements of the resultant matrix, which is equivalent to the reduction of memory interval of virtual subchannels. This method is based on the polynomial version of QR algorithm and the procedure of Bauer factorization.
Keywords :
MIMO communication; matrix decomposition; polynomial matrices; precoding; Bauer factorization; ISI; MIMO channel; QR decomposition; SVD decomposition; equalization; matrix decompositions; polynomial matrix; precoding; resultant matrix; Finite element methods; Finite impulse response filter; MIMO; Matrix decomposition; Polynomials; Signal processing algorithms; Equalization; MIMO; paraunitary matrix; polynomial matrix; polynomial matrix QR decomposition; singular value decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications and Signal Processing (TSP), 2012 35th International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4673-1117-5
Type :
conf
DOI :
10.1109/TSP.2012.6256267
Filename :
6256267
Link To Document :
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