Statistical adaptive sensing by detectors with spectrally overlapping bands

Ünal Sakoǧlu, Majeed M. Hayat, J. Scott Tyo, Philip Dowd, Senthil Annamalai, Kalyan T. Posani, Sanjay Krishna

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15 Citations (Scopus)

Abstract

It has recently been reported that by using a spectral-tuning algorithm, the photocurrents of multiple detectors with spectrally overlapping responsivities can be optimally combined to synthesize, within certain limits, the response of a detector with an arbitrary responsivity. However, it is known that the presence of noise in the photocurrent can degrade the performance of this algorithm significantly, depending on the choice of the responsivity spectrum to be synthesized. We generalize this algorithm to accommodate noise. The results are applied to quantum-dot mid-infrared detectors with bias-dependent spectral responses. Simulation and experiment are used to show the ability of the algorithm to reduce the adverse effect of noise on its spectral-tuning capability.

Original languageEnglish
Pages (from-to)7224-7234
Number of pages11
JournalApplied Optics
Volume45
Issue number28
DOIs
Publication statusPublished - 1 Oct 2006
Externally publishedYes

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