Presentation + Paper
12 April 2021 Veritas: an admissible detector for targets of unknown strength
Author Affiliations +
Abstract
Inspired by the comic faux-Latin aphorism veritas duo sigma" (truth at two sigmas), an approach to target detection is proposed based on a likelihood ratio test in which the unknown target strength is treated as known, with strength chosen to correspond to a minimal level of detectability. For Gaussian distributions, this strength typically corresponds to two or three sigmas. This detector is admissible, which means that there is no other detector that is uniformly superior to it. The simplicity of the veritas detector permits closed-form solutions to be derived for a variety of signal detection problems. In a series of numerical experiments, these simple detectors are compared to traditional detectors, such as the locally most powerful detector and the generalized likelihood ratio test detector.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James Theiler "Veritas: an admissible detector for targets of unknown strength", Proc. SPIE 11727, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVII, 117270B (12 April 2021); https://doi.org/10.1117/12.2586125
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KEYWORDS
Sensors

Target detection

Signal detection

Electronic filtering

Gaussian filters

Linear filtering

Machine learning

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