Real time implementation of matched filtering algorithms using adaptive focal-plane array technology

Zhipeng Wang, Ünal Sakoǧlu, Senthil Annamalai, Nina Rae Weisse-Bernstein, Philip Dowd, J. Scott Tyo, Majeed M. Hayat, Sanjay Krishna

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

13 Citations (Scopus)

Abstract

Spectrally tunable quantum-dot infrared photodetectors (QDIPs) can be used to approximate multiple spectral responses with the same focal-plane array. Hence, they exhibit the potential for real time adaptive detection/ classification. In the present study, it is shown that we can perform the detection/classification operation at the adaptive focal-plane array (AFPA) based on QDIPs by fitting the QDIP's response to the correspondent operators. With a new understanding of spectral signature in the sensor space, the best fitting can be achieved. Our simulation results show how well QDIPs perform in different regions of the spectrum in the mid- and long wave infrared. The results indicate that the AFPA performance does not match that of the ideal filtering operators, but reliable measurement can be accomplished.

Original languageEnglish
Title of host publicationImaging Spectrometry X
PublisherSPIE - International Society for Optical Engineering
Pages73-83
Number of pages11
Volume5546
DOIs
Publication statusPublished - 2004
Externally publishedYes
EventImaging Spectrometry X 2004 - Denver, United States of America
Duration: 2 Aug 20044 Aug 2004
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/5546.toc

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIE
ISSN (Print)0277-786X

Conference

ConferenceImaging Spectrometry X 2004
Country/TerritoryUnited States of America
CityDenver
Period2/08/044/08/04
Internet address

Keywords

  • Adaptive Focal-Plane Array
  • Adaptive Sensing
  • Quantum-Dot Infrared Photodetectors
  • Spectral Imagery

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