Referenced Items are not available for this document.
Theoretical and experimental studies have shown the remarkable capacity and spectral efficiency of V-BLAST. In this paper, we study Fano detection algorithm for the V-BLAST system, which uses QR decomposition of the channel matrix and is based on depth-first tree search. Simulation results show that the performance is comparable to that of ML detector in the cases of QPSK and 16-QAM. Although the Fano algorithm is less complex than the ML algorithm, its complexity is still rather high. This complexity can be reduced at the expense of a degradation of the BER performance.
Published in:
Information, Communications & Signal Processing, 2007 6th International Conference on
Date of Conference: 10-13 Dec. 2007
- Page(s):
- 1 - 5
- E-ISBN :
- 978-1-4244-0983-9
- Print ISBN:
- 978-1-4244-0983-9
- INSPEC Accession Number:
- 9828061
- Conference Location :
- Singapore
- Digital Object Identifier :
- 10.1109/ICICS.2007.4449576
- Product Type:
- Conference Publications
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