DocumentCode
2721571
Title
Using hidden convexity in structured communication problems
Author
Morsy, Tharwat ; Götze, Jürgen ; Nassar, Hamed
Author_Institution
Inf. Process. Lab., Tech. Univ. Dortmund, Dortmund, Germany
fYear
2011
fDate
17-19 Nov. 2011
Firstpage
1
Lastpage
7
Abstract
Generalized minimum mean squared error (GMMSE) detector has a bit error rate (BER) performance that is almost the same as minimum mean squared error (MMSE) detector and it has the advantage that it does not require the knowledge of the noise power. However, the computational complexity of GMMSE detector is higher than that of MMSE detector. In this paper, the computational complexity of the GMMSE detector is reduced by using the hidden convexity combined with the idea of using the circular approximation of the banded Toeplitz channel matrix. In this case, the solutions are obtained by computing the EVD of the circular matrix using FFT/IFFT such that, the required EVD implies no additional effort.
Keywords
Toeplitz matrices; approximation theory; computational complexity; error statistics; fast Fourier transforms; least mean squares methods; wireless channels; BER performance; EVD; FFT-IFFT; GMMSE detector; banded Toeplitz channel matrix; bit error rate performance; circular approximation; circular matrix; computational complexity; generalized minimum mean squared error detector; hidden convexity; structured communication problems; wireless communication channels; Approximation methods; Bit error rate; Computational complexity; Convex functions; Detectors; Noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Performance Computing and Communications Conference (IPCCC), 2011 IEEE 30th International
Conference_Location
Orlando, FL
ISSN
1097-2641
Print_ISBN
978-1-4673-0010-0
Type
conf
DOI
10.1109/PCCC.2011.6108078
Filename
6108078
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