Statistical Track-Before-Detect Methods Applied to Faint Optical Observations of Resident Space Objects
نویسندگان
چکیده
In this paper, we apply a statistically rigorous track-before-detect (TBD) method, the Bernoulli particle filter, to actual imagery of resident space objects (RSOs). Robust methods in this realm will lead to better space domain awareness (SDA) while reducing the cost of sensors and optics. We focus on estimating sensor-level kinematics of RSOs for low signal-to-noise ratio (SNR) short-arc observations. For four minute arcs of 29 images, targets with SNR as low as 2.6983 are tracked to 3 arcsec accuracy in image plane position and 0.07 arcsec/sec in velocity.
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تاریخ انتشار 2015