Assessment of 3-D noise methodology for thermal sensor simulation

Abstract

An approach to determining the fidelity of synthetic noise based on the NVESD 3-D noise methodology is introduced. After reviewing the theory of 3-D noise analysis, three methods for the generation of synthetic noise are outlined: power spectrum matching, physical noise modeling, and 3-D noise parameter inversion. Real and synthetic noise samples from a staring thermal sensor were analyzed using a 3-D noise analysis. A series of simulated minimum resolvable temperature difference (MRTD) experiments using real and synthetic noise were also conducted. Results from the analysis and the MRTD indicate that modifications to the 3-D noise parameter inversion method could provide a more accurate match to real MRTDs. In addition, the MRTD method used in this research could be used to quantify the relative impact of each component of the 3-D noise model.

Publication Title

Proceedings of SPIE-The International Society for Optical Engineering

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