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Modeling of aliasing effects for point target detection in undersampled IR imaging systems

This paper presents a Fourier transform model of the aliasing effects caused by two-dimensional sensor undersampling. The SNR probability distribution at the sensor output is numerically generated and compared with simulation results. This distribution is needed for estimating the track score gain when SNR is used as a track feature. Modeling of aliasing makes it possible to calculate the sensor mean signal to noise ratio (SNR), the sensor radiometric measurement precision (RMP) and the sensor position measurement precision (PMP) without the use of Monte Carlo simulations. An example of a sensor design trade is presented in which the detector size is maximized with respect to ROC performance.