Laser Probe Techniques with Adaptive FPGA Device
Laser Probe Techniques with Adaptive FPGA Device
Thursday, November 20, 2025: 10:40 AM
1 (Pasadena Convention Center)
Summary:
This paper introduces an accessible implementation of laser probe (LP) techniques using a single adaptive field-programmable gate array (FPGA) device. Through several case studies, we demonstrate different integration methods and improvements over conventional ways. First, we investigate two alternative implementations of frequency-domain mapping (FM): one using a software-defined lock-in amplifier, and another using a dual boxcar averager module. Second, we explore a time-domain mapping (TM) technique implemented with the dual boxcar averager. Third, we introduce a customized solution to enhance signal quality in combination with a software-defined lock-in amplifier. Lastly, we examine the use of artificial intelligence (AI), specifically neural networks (NN), to improve LP signal acquisition during real-time signal processing. These approaches reduce barriers to innovation by eliminating the need for substantial upfront legal or financial commitments between collaborating organizations.
This paper introduces an accessible implementation of laser probe (LP) techniques using a single adaptive field-programmable gate array (FPGA) device. Through several case studies, we demonstrate different integration methods and improvements over conventional ways. First, we investigate two alternative implementations of frequency-domain mapping (FM): one using a software-defined lock-in amplifier, and another using a dual boxcar averager module. Second, we explore a time-domain mapping (TM) technique implemented with the dual boxcar averager. Third, we introduce a customized solution to enhance signal quality in combination with a software-defined lock-in amplifier. Lastly, we examine the use of artificial intelligence (AI), specifically neural networks (NN), to improve LP signal acquisition during real-time signal processing. These approaches reduce barriers to innovation by eliminating the need for substantial upfront legal or financial commitments between collaborating organizations.