Segment Compressive Sensing of Pipeline Data by Sequential Approach

Hong Jie Wan; Jing Ma; Wei Guo Lin; Bo Ran Yu

doi:10.4028/www.scientific.net/AMM.513-517.2787

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517Segment Compressive Sensing of Pipeline Data by...

Segment Compressive Sensing of Pipeline Data by Sequential Approach

Abstract:

In distributed optical fiber pipeline pre-warning system, the sampling rate is very high for threatening event location, so vast data will be generated which is inconvenient for transfer or storage. This paper adopts the compressive sensing approach to reduce the data quantity. The sparsity of each segment of the signal is important for signal recovery, and it controls the measurement number needed. However, the sparsity of every segment is difficult to achieve. In this paper, the sequential approach is used to fix the measurement number of each segment of the optical fiber pipeline data. This segment sequential approach further reduces the amount of data on the basis of compressive sensing. Simulation is carried out on the actual optical fiber pipeline pre-warning data, and the experimental results show that the reconstruction SNR could exceed 26dB using this algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

2787-2790

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.2787

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Online since:

February 2014

Authors:

Hong Jie Wan*, Jing Ma, Wei Guo Lin, Bo Ran Yu

Keywords:

Optical Fiber Pre-Warning, Pipeline Safety, Segment Compressive Sensing, Sequential

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