Real-time signal processing for sub-THz range grating-based distributed fiber sensing

Abstract

Distributed optical fiber sensors are an increasingly utilized method of gathering distributed strain and temperature data. However, the large amount of data they generate presents a challenge that limits their use in real-time, in situ applications. This article describes a parallel and pipelined computing architecture that accelerates the signal-processing speed of sub-terahertz fiber sensor arrays, maintaining high spatial resolution while allowing for expanded use of real-time sensing and control applications. The computing architecture described was successfully implemented in a field programmable gate array chip. The signal processing for the entire array takes only 12 system clock cycles. In addition, this design removes the necessity of storing any raw or intermediate data.