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Real-Time Video Transmission using Gaussian Minimum Shift Keying (GMSK) on GNU Radio and USRP for Radiation Monitoring Applications in Nuclear Reactors
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 35 |
| Year of Publication: 2025 |
| Authors: Nabiha Ben Abid, Abdalla M. Khattab, Hani A.M. Harb, Chokri Souani |
10.5120/ijca2025925202
|
Nabiha Ben Abid, Abdalla M. Khattab, Hani A.M. Harb, Chokri Souani . Real-Time Video Transmission using Gaussian Minimum Shift Keying (GMSK) on GNU Radio and USRP for Radiation Monitoring Applications in Nuclear Reactors. International Journal of Computer Applications. 187, 35 ( Aug 2025), 22-30. DOI=10.5120/ijca2025925202
Abstract
Wireless communication has undergone a significant transformation with the explosive expansion of Software-Defined Radio (SDR) systems. By enabling software flexibility and reducing hardware dependency, SDR systems facilitate the rapid development of efficient and adaptable communication protocols. This study introduces a real-time video transmission system built upon Gaussian Minimum Shift Keying (GMSK) modulation, specifically tailored for radiation monitoring applications in nuclear reactors. The system is implemented using GNU Radio and Universal Software Radio Peripheral (USRP) devices, leveraging their robust capabilities for flexible signal processing. The research meticulously examines the system's performance under various conditions, analyzing key metrics such as Bit Error Rate (BER), latency, and signal quality. While the primary focus is on GMSK, comparative analyses with other modulation schemes, such as BPSK and QPSK, are conducted to highlight the advantages of GMSK in this demanding environment. The results demonstrate the feasibility and reliability of GMSK-based real-time video streaming for critical nuclear facility surveillance, achieving respectable performance metrics crucial for safety and operational awareness. Further enhancements, including improved latency and signal clarity, can be realized through optimizing sample rates and filtering parameters, underscoring the system's potential for robust deployment in high-stakes radiation monitoring scenarios.
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