In general, spectral absorptions are known to negatively affect photodetector Fourier Transform Infrared Transform (FTIR) responses. In this paper, we present an adaptive technique for automatic spectral region detection, absorption modeling and extraction. We show how a combination of several automated signal processing steps, including automatic piecewise-polynomial models derivation in addition to an automatic adaptive boundary based spectral absorption removal, leads to an effective determination of overall FTIR signal performance improvement. Our results show that for different types of lens materials the proposed adaptive algorithm can automatically quantify the increase in the detector sensitivity while additionally finding material-based absorptions and reducing their adverse effects across the MWIR band.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    An Adaptive Technique for Automatic Region Detection and Extraction of FTIR Spectral Material Absorption for Mid-Wave Infrared Microsphere-Lens-Enhanced Type II Strained Layer Super-Lattice Photodetectors


    Contributors:
    DiZoglio, J. (author) / Megherbi, D. B. (author) / Mack, P. (author) / Vakil, M. I. (author) / Limberopoulos, N. (author) / Urbas, A. (author)


    Publication date :

    2018-07-01


    Size :

    1235990 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Two-Mode InGaSb/GaSb Strained-Layer Superlattice, Infrared Photodetectors

    Chen, S. M. / Su, Y. K. / Yu, C. F. et al. | British Library Conference Proceedings | 1995


    Radiation tolerance of type-II strained layer superlattice-based interband cascade infrared photodetectors (ICIP)

    Cowan, Vincent M. / Treider, Laura A. / Morath, Christian P. et al. | SPIE | 2013




    MWIR unipolar barrier photodetectors based on strained layer superlattices

    Ramirez, David A. / Myers, Stephen A. / Plis, Elena et al. | SPIE | 2015