DocumentCode :
1711449
Title :
Null-space of block convolution matrix
Author :
Gopi Krishna, T ; Singh, Istdeo ; Giridhar, K
Author_Institution :
Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai-600036, India
fYear :
2013
Firstpage :
1
Lastpage :
5
Abstract :
A novel, efficient, non-iterative algorithm to find the null-space of the block convolution matrix which gives rise to a particular block banded block Toeplitz matrix (BBTM) is developed. This BBTM structure arises in the context of a multiple input multiple output (MIMO) (Nr receivers and Nt transmitters) orthogonal frequency division multiplexing (OFDM) model where the effective L taps channel impulse response length is to be shortened using a N tap channel shortening prefilter. This computationally efficient algorithm to find the null-space is derived from standard Gaussian elimination and exploits the structure of the MIMO-OFDM channel matrix. When compared to standard Gaussian elimination with partial pivoting which has a complexity of O(N3) for a L-tap channel the proposed algorithm has a run-time complexity of only O(N).
Keywords :
Algorithm design and analysis; Matrix converters; Matrix decomposition; Runtime; Signal processing algorithms; Vectors; Block matrix; Channel matrix; Channel shortening; Gaussian elimination; Null-Space; Partial pivoting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (NCC), 2013 National Conference on
Conference_Location :
New Delhi, India
Print_ISBN :
978-1-4673-5950-4
Electronic_ISBN :
978-1-4673-5951-1
Type :
conf
DOI :
10.1109/NCC.2013.6487951
Filename :
6487951
Link To Document :
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