Title :
Spectral Peak-Shift Estimation With Wavelength Dependent Sources and Detectors
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Kentucky, Lexington, KY
Abstract :
This correspondence extends Karl and Pien´s [ldquoHigh-Resolution Biosensor Spectral Peak Shift Estimation,rdquo IEEE Transactions on Signal Processing, vol 53, no. 12, pp. 4631-4639, December 2005] approach to spectral-shift estimation for optical sensors to account for wavelength dependent illumination sources and detectors. Relaxing the assumption of spectrally uniform source power and detector efficiency alters the previously derived Cramer-Rao bound and maximum-likelihood estimator. The new estimator offers significantly reduced error compared to the wavelength invariant estimator and common ad hoc estimators.
Keywords :
biosensors; maximum likelihood estimation; optical sensors; spectral line shift; Cramer-Rao bound; high-resolution biosensor; maximum-likelihood estimator; optical sensors; spectral peak-shift estimation; spectral-shift estimation; wavelength dependent detectors; wavelength dependent illumination sources; wavelength dependent sources; CramÉr–Rao lower bound; Cramer-Rao lower bound; optical sensors; spectral peak-shift estimation;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2008.928954
