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Chip-scale hybrid optical sensing systems using digital signal processing.

Sang-Yeon Cho1, Deva K Borah

  • 1Klipsch School of Electrical and Computer Engineering, New Mexico State University, Las Cruces, NM 88003-8001, USA. sangycho@nmsu.edu

Optics Express
|January 9, 2009
PubMed
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This summary is machine-generated.

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We developed a novel hybrid optical sensing system for chip-scale applications. This system accurately estimates refractive index changes, enabling precise spectral shift detection for advanced sensing.

Area of Science:

  • Photonics and Optical Engineering
  • Micro-scale Sensing Technologies
  • Integrated Optics

Background:

  • Microresonator-based sensors are crucial for miniaturized sensing.
  • Accurate detection of spectral shifts is key for effective sensing.
  • Existing systems face challenges in noisy environments.

Purpose of the Study:

  • To introduce a novel hybrid optical sensing system.
  • To enable standalone, chip-scale sensing applications.
  • To accurately detect spectral shifts by estimating effective refractive index.

Main Methods:

  • Developed a hybrid optical sensing system architecture.
  • Employed maximum likelihood estimation (MLE) for refractive index estimation.
  • Evaluated system performance in a Gaussian-noise dominant environment.

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Main Results:

  • The proposed system demonstrates excellent estimation accuracy.
  • Effective refractive index changes were accurately detected.
  • The system proved robust in noisy conditions.

Conclusions:

  • The hybrid optical sensing system offers a fully functional integrated solution.
  • This technology has significant potential for diverse chip-scale sensing applications.
  • The approach provides high accuracy in spectral shift detection.