A new grouping-ML detector with low complexity for SC-FDMA systems

Sungmook Lim; Taehoon Kwon; Jemin Lee; Daesik Hong

doi:10.1109/ICC.2010.5502813

A new grouping-ML detector with low complexity for SC-FDMA systems

Sungmook Lim, Taehoon Kwon, Jemin Lee, Daesik Hong

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

In this paper, we propose a new grouping-maximum likelihood detector (GMLD) for single carrier-frequency division multiple access (SC-FDMA) systems. The proposed detector performs local maximum likelihood (ML) detection by grouping the received symbol block based on orthogonal projection to reduce the complexity of ML detector. As a result, the proposed detector offers lower complexity than the ML detector, while its performance approaches that of the ML detector. In addition, the efficient group size to guarantee the lowest complexity and the BER performance close to the ML is also presented.

Original language	English
Title of host publication	2010 IEEE International Conference on Communications, ICC 2010
DOIs	https://doi.org/10.1109/ICC.2010.5502813
Publication status	Published - 2010
Event	2010 IEEE International Conference on Communications, ICC 2010 - Cape Town, South Africa Duration: 2010 May 23 → 2010 May 27

Publication series

Name	IEEE International Conference on Communications
ISSN (Print)	0536-1486

Other

Other	2010 IEEE International Conference on Communications, ICC 2010
Country	South Africa
City	Cape Town
Period	10/5/23 → 10/5/27

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICC.2010.5502813

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Cite this

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title = "A new grouping-ML detector with low complexity for SC-FDMA systems",

abstract = "In this paper, we propose a new grouping-maximum likelihood detector (GMLD) for single carrier-frequency division multiple access (SC-FDMA) systems. The proposed detector performs local maximum likelihood (ML) detection by grouping the received symbol block based on orthogonal projection to reduce the complexity of ML detector. As a result, the proposed detector offers lower complexity than the ML detector, while its performance approaches that of the ML detector. In addition, the efficient group size to guarantee the lowest complexity and the BER performance close to the ML is also presented.",

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doi = "10.1109/ICC.2010.5502813",

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Lim, S, Kwon, T, Lee, J & Hong, D 2010, A new grouping-ML detector with low complexity for SC-FDMA systems. in 2010 IEEE International Conference on Communications, ICC 2010., 5502813, IEEE International Conference on Communications, 2010 IEEE International Conference on Communications, ICC 2010, Cape Town, South Africa, 10/5/23. https://doi.org/10.1109/ICC.2010.5502813

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T1 - A new grouping-ML detector with low complexity for SC-FDMA systems

AU - Lim, Sungmook

AU - Kwon, Taehoon

AU - Lee, Jemin

AU - Hong, Daesik

PY - 2010

Y1 - 2010

N2 - In this paper, we propose a new grouping-maximum likelihood detector (GMLD) for single carrier-frequency division multiple access (SC-FDMA) systems. The proposed detector performs local maximum likelihood (ML) detection by grouping the received symbol block based on orthogonal projection to reduce the complexity of ML detector. As a result, the proposed detector offers lower complexity than the ML detector, while its performance approaches that of the ML detector. In addition, the efficient group size to guarantee the lowest complexity and the BER performance close to the ML is also presented.

AB - In this paper, we propose a new grouping-maximum likelihood detector (GMLD) for single carrier-frequency division multiple access (SC-FDMA) systems. The proposed detector performs local maximum likelihood (ML) detection by grouping the received symbol block based on orthogonal projection to reduce the complexity of ML detector. As a result, the proposed detector offers lower complexity than the ML detector, while its performance approaches that of the ML detector. In addition, the efficient group size to guarantee the lowest complexity and the BER performance close to the ML is also presented.

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BT - 2010 IEEE International Conference on Communications, ICC 2010

T2 - 2010 IEEE International Conference on Communications, ICC 2010

Y2 - 23 May 2010 through 27 May 2010

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