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: Contribution to journalConference articlepeer-review

13 Scopus citations


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 (US)
Article number09
Pages (from-to)73-83
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2004
Externally publishedYes
EventImaging Spectrometry X - Denver, CO, United States
Duration: Aug 2 2004Aug 4 2004


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

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


Dive into the research topics of 'Real time implementation of matched filtering algorithms using adaptive focal-plane array technology'. Together they form a unique fingerprint.

Cite this