In fiber-optic sensing, spatial or measurement resolution refers to the smallest detectable change in strain, temperature, or other parameters along the fiber or within the sensor element. Higher resolution allows detection of very localized changes, such as microcracks in composites or thermal hotspots in power cables, which would be missed by lower-resolution systems . For example, distributed sensing techniques like Brillouin optical correlation-domain reflectometry (BOCDR) or Optical Frequency Domain Reflectometry (OFDR) can achieve millimeter-scale resolution, enabling precise monitoring of infrastructure .
The optimal resolution depends on the sensing goals, environment, and required measurement accuracy. Engineers must balance resolution with SNR, dynamic range, and system complexity. Techniques like Fabry-Perot interferometers with chirped fiber Bragg gratings can achieve high resolution while maintaining a reasonable dynamic range, demonstrating that careful design can mitigate some trade-offs .
While higher resolution enhances the ability to detect fine changes, it is not universally better. The ideal resolution is application-dependent, balancing the need for detail with practical limitations such as noise, dynamic range, and cost. Selecting the appropriate resolution ensures reliable, actionable data without unnecessary system complexity .
2 Expected ultimate performance by sensor type This section evaluates the performance limits of various distributed
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