Adaptive-optical-comb-enabled Intedgrated Multi-species Gas Analysis Platform
Abstract
The overall objective of the proposed research is to explore and develop on-chip techniques for the detection of multiple gas species using the capabilities of optical frequency combs. Specific objectives of the proposed research are the exploration and development of (a) advanced signal processing techniques matched with the adaptive capabilities of the modern comb sources to maximize the selectivity and minimize the errors in multiple species detection; (b) comb spectroscopy combined with micro-gas-chromatography implemented on the same chip; and (c) two-stage chemical selection and identification utilizing rough sorting by the gas chromatograph and fine detection using an adaptive comb. The proposed approach during the first year of the research will analyze the fundamental limits on the selectivity and sensitivity of comb spectroscopy. Further, signal processing algorithms will be developed that can approach these limits under realistic conditions (cluttered environment, power and measurement time constraints, limited spectral resolution of the detector, among others). The magnitude of the potential improvement provided over these limits by integration of comb spectroscopy with micro-gas-chromatography will be quantified. During the second year, these results will be used to identify the path for proof-of-concept demonstrations aimed at achieving multiple species capability and robust performance in the presence of a significant clutter-to-target concentration ratio. The third-year option will focus on optimization of the sensor aiming to achieve high sensitivity, development of the capability of identifying more than 10 different species, and demonstration of robust performance in the presence of a clutter with concentration of over an order of magnitude higher than the target s concentration.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 12, 2017
- Source ID
- W911NF1610065
Entities
People
- Michael Vasilyev
Organizations
- Army Contracting Command
- Defense Advanced Research Projects Agency
- University of Texas at Arlington