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

Zhipeng Wang; Unal Sakoglu; Senthil Annamalai; Nina-Rae Weisse-Bernstein; Philip Dowd; J. Scott Tyo; Majeed M. Hayat; Sanjay Krishna

doi:10.1117/12.560116

Translator Disclaimer

15 October 2004 Real-time implementation of matched filtering algorithms using adaptive focal-plane array technology

Zhipeng Wang; Unal Sakoglu; Senthil Annamalai; Nina-Rae Weisse-Bernstein; Philip Dowd; J. Scott Tyo; Majeed M. Hayat; Sanjay Krishna

Author Affiliations +

Proceedings Volume 5546, Imaging Spectrometry X; (2004) https://doi.org/10.1117/12.560116
Event: Optical Science and Technology, the SPIE 49th Annual Meeting, 2004, Denver, Colorado, United States

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.

Citation Download Citation

Zhipeng Wang, Unal Sakoglu, Senthil Annamalai, Nina-Rae Weisse-Bernstein, Philip Dowd, J. Scott Tyo, Majeed M. Hayat, and Sanjay Krishna "Real-time implementation of matched filtering algorithms using adaptive focal-plane array technology", Proc. SPIE 5546, Imaging Spectrometry X, (15 October 2004); https://doi.org/10.1117/12.560116

ACCESS THE FULL ARTICLE