Research on Sparse Channel Estimation Algorithm Based on MIMO-OFDM System

Xu, Wei; Zhao, Zhe

doi:10.1109/cisce50729.2020.00090

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Cited by 2 publications

References 18 publications

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Channel Estimation in 5G and Beyond Networks Using Deep Learning

Singh,

Swami,

Bhatia

et al. 2024

2024 34th International Conference Radioelektronika (RADIOELEKTRONIKA)

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Channel Estimation in 5G and Beyond Networks Using Deep Learning

Singh,

Swami,

Bhatia

et al. 2024

2024 34th International Conference Radioelektronika (RADIOELEKTRONIKA)

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An improved signal detection algorithm for a mining-purposed MIMO-OFDM IoT-based system

Guo

Zhao

Guo

et al. 2023

era

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<abstract> <p>The coal mine internet of things (IoT) communication system is used for real-time monitoring of mining production to ensure the safety and reliability of personnel and equipment in the mine. To eliminate multipath fading in the process of wireless communication in mines, multiple-output multiplexing (MIMO) and orthogonal frequency division multiplexing (OFDM) technologies are introduced. In this paper, a wireless communication system architecture of IoT in mining based on MIMO-OFDM is constructed. Aiming to solve the problems of intersymbol interference and frequency selective fading at the receiver, an improved minimum mean square error ordered successive interferences cancellation (MMSE-OSIC) signal detection algorithm is proposed. First, the signal-to-interference plus noise ratio of the received signal is calculated and the calculation results are sorted. The lowest signal-to-noise ratio is selected as the weakest signal layer. Then, the MMSE-OSIC algorithm is used to extract all of the signals, except the weakest layer. Finally, a maximum likelihood (ML) algorithm is used to traverse the whole signal domain; the signal symbol with the smallest distance from the weakest signal layer is found as the original signal of the weakest signal layer, and it is combined with the signal detected by MMSE-OSIC; then, the final signal detection result is obtained. The simulation results show that, compared with three benchmark algorithms, the proposed MMSE-OSIC algorithm has better signal detection performance under the conditions of different modulation methods and different channel numbers.</p> </abstract>

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Research on Sparse Channel Estimation Algorithm Based on MIMO-OFDM System

Cited by 2 publications

References 18 publications

Channel Estimation in 5G and Beyond Networks Using Deep Learning

Channel Estimation in 5G and Beyond Networks Using Deep Learning

An improved signal detection algorithm for a mining-purposed MIMO-OFDM IoT-based system

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