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High-efficiency cross-correlation algorithm for optical frequency domain reflectometry distributed sensing
Optics Letters
|August 15, 2025
Summary
This study introduces an efficient algorithm for Optical Frequency Domain Reflectometry (OFDR) to improve real-time performance. The new Chirp-Z Transform method drastically cuts computational load, enabling faster distributed fiber-optic sensing.
Area of Science:
- Optics
- Signal Processing
- Fiber Optics
Background:
- Optical Frequency Domain Reflectometry (OFDR) is vital for distributed fiber-optic sensing.
- Traditional cross-correlation algorithms limit OFDR's real-time capabilities due to high computational complexity.
Purpose of the Study:
- To develop an efficient cross-correlation algorithm for OFDR.
- To enhance the real-time performance of OFDR systems.
Main Methods:
- Implementation of an efficient cross-correlation algorithm utilizing the Chirp-Z Transform.
- Analysis of computational complexity reduction compared to traditional methods.
Main Results:
- The proposed Chirp-Z Transform algorithm significantly reduces computational complexity.
- Computational complexity decreased over 4400 times compared to traditional algorithms.
- High spatial resolution is maintained.
Conclusions:
- The new algorithm offers substantial improvements in OFDR real-time performance.
- This research provides theoretical and methodological advancements for real-time OFDR applications.
