Chip-scale hybrid optical sensing systems using digital signal processing.
We propose a novel hybrid optical sensing system for standalone, chip-scale sensing applications. The hybrid optical sensing system detects any spectral shift of the microresonator sensor output by estimating the effective refractive index using maximum likelihood estimation. The performance evaluation of the proposed hybrid sensing system in the Gaussian-noise dominant environment shows excellent estimation accuracy. This innovative approach allows fully functional integrated hybrid sensing systems, offering great potential in various chip-scale sensing applications.
Cho
Sang-Yeon
SY
Klipsch School of Electrical and Computer Engineering, New Mexico State University, Las Cruces, NM 88003-8001, USA. sangycho@nmsu.edu
Borah
Deva K
DK
D004563:Electrochemistry; D004867:Equipment Design; D008027:Light; D046208:Microchip Analytical Procedures; D037742:Nanotubes, Carbon; D016011:Normal Distribution; D020411:Oligonucleotide Array Sequence Analysis; D055096:Optical Devices; D055095:Optics and Photonics; D011336:Probability; D012031:Refractometry; D012815:Signal Processing, Computer-Assisted
D037742:Nanotubes, Carbon