DocumentCode
415228
Title
Partial decision-feedback detection for multiple-input multiple-output channels
Author
Waters, Deric W. ; Barry, John R.
Author_Institution
Sch. of Electr. & Comput.Eng.,, Georgia Inst. of Technol., Atlanta, GA, USA
Volume
5
fYear
2004
fDate
20-24 June 2004
Firstpage
2668
Abstract
The BLAST ordered decision-feedback (ODF) detector is a nonlinear detection strategy for multiple-input multiple-output channels that can significantly outperform a linear detector at the expense of the increased computational complexity. We propose the partial decision-feedback (PDF) detector, a simplified version of the ODF detector that only feeds back one decision. The PDF detector reduces complexity significantly compared to the ODF detector while suffering limited performance loss. For example, over a 5 × 5 Rayleigh fading channel with 64-QAM inputs, the PDF detector is one-third as complex as the ODF detector yet it requires only 0.5 dB more average signal energy to reach a symbol-error rate of 10-3.
Keywords
MIMO systems; Rayleigh channels; computational complexity; probability; quadrature amplitude modulation; Rayleigh fading channel; computational complexity; multiple-input multiple-output channels; nonlinear detection strategy; partial decision-feedback detection; quadrature amplitude modulation; word-error probability; Additive white noise; Chromium; Communications Society; Detectors; Intersymbol interference; MIMO; Noise reduction; Nonlinear filters; Performance loss; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2004 IEEE International Conference on
Print_ISBN
0-7803-8533-0
Type
conf
DOI
10.1109/ICC.2004.1313015
Filename
1313015
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