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Low-complexity blind maximum-likelihood detection for SIMO systems with general constellations

Xu, Weiyu and Stojnic, Mihailo and Hassibi, Babak (2008) Low-complexity blind maximum-likelihood detection for SIMO systems with general constellations. In: IEEE International Conference on Acoustics, Speech and Signal Processing, 2008. IEEE , Piscataway, NJ, pp. 2817-2820. ISBN 978-1-4244-1483-3.

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The demand for high data rate reliable communications poses great challenges to the next generation wireless systems in highly dynamic mobile environments. In this paper, we investigate the joint maximum-likelihood (ML) channel estimation and signal detection problem for single-input multiple-output (SIMO) wireless systems with general modulation constellations and propose an efficient sequential decoder for finding the exact joint ML solution. Unlike other known methods, the new decoder can even efficiently find the joint ML solution under high spectral efficiency non-constant- modulus modulation constellations. In particular, the new algorithm does not need such preprocessing steps as Cholesky or QR decomposition in the traditional sphere decoders for joint ML channel estimation and data detection. The elimination of such preprocessing not only reduces the number of floating point computations, but also will potentially lead to smaller size and power consumption in VLSI implementations while providing better numerical stability.

Item Type:Book Section
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Additional Information:© 2008 IEEE. Issue Date: March 31 2008-April 4 2008; Date of Current Version: 12 May 2008.
Subject Keywords:blind ML detection; decoding complexity; SIMO; maximum-likelihood; sphere decoder
Record Number:CaltechAUTHORS:20100729-100229512
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Official Citation:Weiyu Xu; Stojnic, M.; Hassibi, B.; , "Low-complexity blind maximum-likelihood detection for SIMO systems with general constellations," Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on , vol., no., pp.2817-2820, March 31 2008-April 4 2008 doi: 10.1109/ICASSP.2008.4518235 URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:19215
Deposited On:29 Jul 2010 22:53
Last Modified:08 Nov 2021 23:50

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