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