Investigating prior probabilities in a multiple hypothesis test for use in space domain awareness

Tyler J. Hardy; Stephen C. Cain

doi:10.1117/12.2220411

13 May 2016 Investigating prior probabilities in a multiple hypothesis test for use in space domain awareness

Tyler J. Hardy, Stephen C. Cain

Proceedings Volume 9838, Sensors and Systems for Space Applications IX; 983804 (2016) https://doi.org/10.1117/12.2220411
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

The goal of this research eﬀort is to improve Space Domain Awareness (SDA) capabilities of current telescope systems through improved detection algorithms. Ground-based optical SDA telescopes are often spatially under-sampled, or aliased. This fact negatively impacts the detection performance of traditionally proposed binary and correlation-based detection algorithms. A Multiple Hypothesis Test (MHT) algorithm has been previously developed to mitigate the eﬀects of spatial aliasing. This is done by testing potential Resident Space Objects (RSOs) against several sub-pixel shifted Point Spread Functions (PSFs). A MHT has been shown to increase detection performance for the same false alarm rate. In this paper, the assumption of a priori probability used in a MHT algorithm is investigated. First, an analysis of the pixel decision space is completed to determine alternate hypothesis prior probabilities. These probabilities are then implemented into a MHT algorithm, and the algorithm is then tested against previous MHT algorithms using simulated RSO data. Results are reported with Receiver Operating Characteristic (ROC) curves and probability of detection, P_d, analysis.

Citation Download Citation

Tyler J. Hardy and Stephen C. Cain "Investigating prior probabilities in a multiple hypothesis test for use in space domain awareness", Proc. SPIE 9838, Sensors and Systems for Space Applications IX, 983804 (13 May 2016); https://doi.org/10.1117/12.2220411

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