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Erschienen in: Cluster Computing 4/2019

05.03.2018

An enhanced MMSE detection with constellation distance correction for the Internet of things with multiple antennas

verfasst von: Jiao Feng, Dongshun Hu, Peng Li, Johnson Zhang

Erschienen in: Cluster Computing | Sonderheft 4/2019

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Abstract

A feature of the Internet of Things (IoT) is that the data demanded users in the system need to be served with low energy consumption. To address this requirement, multi-input multi-output (MIMO) technology can be used in the communication modules. In this paper, a novel low-complexity parameter estimator combined with an MMSE detector and a constellation distance correction (CDC) structure is proposed for multiple antenna systems. A hard-output detector is proposed to enhance the reliability of the estimation output. By measuring the distance between constellation candidates and the MMSE estimated soft output, the proposed equalizer may avoid processing redundancy of candidates with decision distance. Simulation results show that the proposed MMSE-CDC technique may provide about the same BER performance as the other post detection processing (PDP) techniques but requires significant less computational complexity.

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Metadaten
Titel
An enhanced MMSE detection with constellation distance correction for the Internet of things with multiple antennas
verfasst von
Jiao Feng
Dongshun Hu
Peng Li
Johnson Zhang
Publikationsdatum
05.03.2018
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe Sonderheft 4/2019
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-2179-y

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