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Performance Enhancement of Brillouin Distributed Temperature Sensor Using Optimized Fiber

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Intelligent Computing, Networking, and Informatics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 243))

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Abstract

The improvement of signal-to-noise ratio (SNR) and the suppression of stimulated Brillouin scattering (SBS) effects in a long-range distributed sensor are presented in this paper. We have designed a simple Brillouin distributed temperature sensor using phase modulation and optimization technique. Global evolutionary computing-based optimization technique [particle swarm optimization (PSO)] is applied for fiber and receiver optimization. The simulated results of the sensing system are reported in this paper. The combination of phase modulation and the global evolutionary computing technique improved the SBS threshold power to an extent of 6.8 and 6.3 dBm for 50 and 75 km of sensing range, respectively. However, with both receiver and fiber optimization, a 20 dBm improvement of SNR for an input power of 5 dBm and 75 km of sensing range is reported.

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Authors and Affiliations

  1. School of Electrical Sciences, IIT, Bhubaneswar, Odisha, India

    P. K. Sahu & Himansu Shekhar Pradhan

Authors
  1. P. K. Sahu
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  2. Himansu Shekhar Pradhan
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Correspondence to P. K. Sahu .

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Editors and Affiliations

  1. Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, Orissa, India

    Durga Prasad Mohapatra

  2. Computer Science and Engineering, SOA University, Bhubaneswar, India

    Srikanta Patnaik

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Sahu, P.K., Pradhan, H.S. (2014). Performance Enhancement of Brillouin Distributed Temperature Sensor Using Optimized Fiber. In: Mohapatra, D.P., Patnaik, S. (eds) Intelligent Computing, Networking, and Informatics. Advances in Intelligent Systems and Computing, vol 243. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1665-0_8

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  • DOI: https://doi.org/10.1007/978-81-322-1665-0_8

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1664-3

  • Online ISBN: 978-81-322-1665-0

  • eBook Packages: EngineeringEngineering (R0)

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