Comparative study of lossy and lossless data compression in distributed optical fiber sensing systems

David Atubga; Huijuan Wu; Lidong Lu; Xiaoyan Sun

doi:10.1117/1.OE.56.2.024108

22 February 2017 Comparative study of lossy and lossless data compression in distributed optical fiber sensing systems

David Atubga, Huijuan Wu, Lidong Lu, Xiaoyan Sun

Author Affiliations +

Optical Engineering, Vol. 56, Issue 2, 024108 (February 2017). https://doi.org/10.1117/1.OE.56.2.024108

Abstract

Typical fully distributed optical fiber sensors (DOFS) with dozens of kilometers are equivalent to tens of thousands of point sensors along the whole monitoring line, which means tens of thousands of data will be generated for one pulse launching period. Therefore, in an all-day nonstop monitoring, large volumes of data are created thereby triggering the demand for large storage space and high speed for data transmission. In addition, when the monitoring length and channel numbers increase, the data also increase extensively. The task of mitigating large volumes of data accumulation, large storage capacity, and high-speed data transmission is, therefore, the aim of this paper. To demonstrate our idea, we carried out a comparative study of two lossless methods, Huffman and Lempel Ziv Welch (LZW), with a lossy data compression algorithm, fast wavelet transform (FWT) based on three distinctive DOFS sensing data, such as Φ-OTDR, P-OTDR, and B-OTDA. Our results demonstrated that FWT yielded the best compression ratio with good consumption time, irrespective of errors in signal construction of the three DOFS data. Our outcomes indicate the promising potentials of FWT which makes it more suitable, reliable, and convenient for real-time compression of the DOFS data. Finally, it was observed that differences in the DOFS data structure have some influence on both the compression ratio and computational cost.

Citation Download Citation

David Atubga, Huijuan Wu, Lidong Lu, and Xiaoyan Sun "Comparative study of lossy and lossless data compression in distributed optical fiber sensing systems," Optical Engineering 56(2), 024108 (22 February 2017). https://doi.org/10.1117/1.OE.56.2.024108

Received: 14 August 2016; Accepted: 17 January 2017; Published: 22 February 2017

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available