An Algorithm for Real-Time Optimal Photocurrent Estimation including Transient Detection for Resource-Constrained Imaging Applications
Michael Zemcov (RIT, JPL), Brendan Crill (JPL), Matthew Ryan (JPL),, Zak Staniszewski (JPL)

TL;DR
This paper introduces a computationally efficient algorithm for real-time optimal photocurrent estimation in near-IR detectors, capable of detecting cosmic ray transients, suitable for resource-limited space applications.
Contribution
The authors develop a novel, resource-efficient algorithm that accurately estimates photocurrents and flags cosmic ray transients in real-time for constrained space-based imaging systems.
Findings
Algorithm provides unbiased photocurrent estimates matching standard methods.
Effective detection and characterization of cosmic ray transients.
Fits within the resource constraints of space-based detectors.
Abstract
Mega-pixel charge-integrating detectors are common in near-IR imaging applications. Optimal signal-to-noise ratio estimates of the photocurrents, which are particularly important in the low-signal regime, are produced by fitting linear models to sequential reads of the charge on the detector. Algorithms that solve this problem have a long history, but can be computationally intensive. Furthermore, the cosmic ray background is appreciable for these detectors in Earth orbit, particularly above the Earth's magnetic poles and the South Atlantic Anomaly, and on-board reduction routines must be capable of flagging affected pixels. In this paper we present an algorithm that generates optimal photocurrent estimates and flags random transient charge generation from cosmic rays, and is specifically designed to fit on a computationally restricted platform. We take as a case study the…
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