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
Link To Document :
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