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Orthogonal frequency multiplexing division based modulation recognition using deep belief network with tangent search optimization in wireless optic communication

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Abstract

Many important signal processing applications are made possible by automatic modulation classification (AMC). More advanced than traditional machine learning (ML) techniques connected to hand-crafted features, deep learning (DL) methods have recently been employed in modulation recognition. However, several conventional Road-based AMC methods have caused confusion amongst OFDM-based signals because to the differences in usable symbol lengths of OFDM schemes. This research creates a Modulation Recognition System for OFDM wireless optical communication using Tangent Search Optimisation with Deep Belief Networks (TSODBN-MRS). Using a feature extraction procedure based on the communication signals, the described TSODBN-MRS technique identifies and classes modulation signals in an OFDM communication system. The DBN model is used for modulation recognition, and the TSO method is used to improve recognition accuracy. The results of the experiments proved that the TSODBN-MRS model provides effective modulation classification performance and has exhibited improved performance with greater pf 99.95%.

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No datasets were generated or analyzed during the current study.

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Funding

This research work is not supported by Government and Non-Government Organization.

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Authors and Affiliations

  1. College of Electrical and Information Engineering, Hunan Institute of Traffic Engineering, Hengyang, 421001, China

    Shengqiang Hu

  2. Department of Information Technology, Vardhaman College of Engineering (Autonomous), Hyderabad, India

    Sanjay Kumar Sen

  3. Department of Computer Engineering, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia

    Mohammed Altaf Ahmed

  4. Electronics and Communication Engineering, Kakatiya Institute of Technology and Science, Warangal, Telangana, 506015, India

    Azmeera Srinivas

  5. GLA University, Mathura, UP, India

    Bharat Singh

  6. School of Electronics Engineering, Vellore Institute of Technology, Vellore, India

    D. Vijendra Babu

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  1. Shengqiang Hu
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  2. Sanjay Kumar Sen
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  3. Mohammed Altaf Ahmed
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  4. Azmeera Srinivas
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  5. Bharat Singh
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  6. D. Vijendra Babu
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Contributions

SH: Conceived and design the analysis, Writing- Original draft preparation. SKS: Collecting the Data, MAA: Contributed data and analysis stools, AS: Performed and analysis, BS: Performed and analysis, DVB: Wrote the Paper, Editing and Figure Design.

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Correspondence to Shengqiang Hu.

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Hu, S., Sen, S.K., Ahmed, M.A. et al. Orthogonal frequency multiplexing division based modulation recognition using deep belief network with tangent search optimization in wireless optic communication. Opt Quant Electron 55, 815 (2023). https://doi.org/10.1007/s11082-023-05095-y

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