A simplified maximum likelihood detection scheme for MIMO systems

Sung, Hozun; Lee, Kwang Bok Ed; Kang, Jee Woong

doi:10.1109/vetecf.2003.1285051

Cited by 21 publications

References 15 publications

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Simplified Signal Detection for BLAST Architecture with ML and DFE Detectors

Baek

Kang

Yeo

et al. 2006

Computational Science – ICCS 2006

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Abstract. In this paper, a simplified signal detection technique is proposed for V-BLAST systems. In this proposed scheme, since the performance of V-BLAST system depends on the first sub-stream detection capability, V probable streams are detected according to the first detected sub-stream of DFE detector and most probable stream is selected by likelihood test. And to reduce the computational complexity of DFE detector, a simple DFE detection scheme is also proposed. It has been shown that the proposed technique can detect the transmitted data more accurately than conventional DFE decoding scheme, and has very lower complexity than ML detector.

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Simplified Signal Detection for BLAST Architecture with ML and DFE Detectors

Baek

Kang

Yeo

et al. 2006

Computational Science – ICCS 2006

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Near optimum OSIC-based ML algorithm in a quantized space for LTE-A downlink physical layer

El‐Mashed

El-Rabaie

2015

Digital Signal Processing

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A Novel Signal Detector in MIMO Systems Based on Complex Correntropy

et al. 2019

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In cellular systems, information signals must be transmitted at high rates and with high reliability. One of the possible solutions to meet such criteria is the use of systems with multiple transmitting and/or receiving antenna arranged in the form of a multiple-input, multiple-output (MIMO) system. However, signal processing techniques in MIMO systems are developed under the assumption of transmission on Gaussian channels, which may lead to the decrease of efficiency in non-Gaussian communication scenarios. In this context, the widespread use of MIMO systems in recent years has motivated the development of new processing techniques that can be employed in scenarios that also consider the presence of non-Gaussian noise in communication channels. This work proposes a novel signal detection technique for MIMO systems, which is called maximum correntropy detector (MCD), being adequate to environments characterized by Gaussian and non-Gaussian noise. The introduced approach is based on complex correntropy function and can be seen as a generalization of the maximum likelihood detector (MLD) concept. The MCD is evaluated on Gaussian and non-Gaussian channels, where superior performance is achieved when compared with the classic detectors, without significant increase of the computational complexity.

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A simplified maximum likelihood detection scheme for MIMO systems

Cited by 21 publications

References 15 publications

Simplified Signal Detection for BLAST Architecture with ML and DFE Detectors

Simplified Signal Detection for BLAST Architecture with ML and DFE Detectors

Near optimum OSIC-based ML algorithm in a quantized space for LTE-A downlink physical layer

A Novel Signal Detector in MIMO Systems Based on Complex Correntropy

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