meetings - Space Flight Mechanics Committee

9:00 AAS Operating Characteristic Approach to Effective Satellite Conjunction
13-435 Filtering
Salvatore Alfano, Center for Space Standards and Innovation; David Finkleman,
Center for Space Standards and Innovation
This paper extends concepts of signal detection theory to predicting the performance of
conjunction screening techniques. Conjunction filter parameters are determined based on
tradeoffs between Type I and Type II errors, admitting infeasible conjunctions and missing
valid conjunction estimates. We take the most trustworthy and precise orbits of the satellite
catalog to be ground truth. All filters use simplified models of orbit dynamics. The orbit
path filter suffers significant Type I errors even with extremely large “pads”. Path filters
achieve very low Type II error rates with pad sizes of 50 km or greater.
9:20 AAS An AEGIS-FISST Sensor Management Approach for Joint Detection and
13-431 Tracking in SSA
Islam Hussein, University of New Mexico; Richard Erwin, Air Force Research
Laboratory; Moriba Jah, Air Force Research Laboratory
9:40 Break
In this paper our goal is to develop information-based metrics for sensor allocation.
However, conventional information-based approaches to the sensor allocation problem are
mostly dedicated to the problem of sensor allocation for multi-object tracking (without
detection). Thus, we develop a Finite Set Statistical (FISST) approach to sensor allocation
for joint search, detection and tracking. Moreover, we seek to obtain closed-form sensor
allocation metrics using the AEGIS-FISST framework which we have recently developed.
10:05 AAS An AEGIS-FISST Algorithm for Joint Detection, Classification and Tracking
13-432 Islam Hussein, University of New Mexico; Carolin Früh, Air Force Research
Laboratory; Richard Erwin, Air Force Research Laboratory; Moriba Jah, Air
Force Research Laboratory
The goal of this paper is to use finite set statistics to solve the joint detection, classification
and tracking problem in space situational awareness. The resulting FISST filter will be
termed Multi-Target, Multi-Class (MTMC) FISST filter and extends the existing multitarget
FISST filter used for joint detection and tracking (without classification). We will
directly approximate the FISST equations using the Gaussian mixtures AEGIS, which is an
estimation approach for non-linear continuous dynamical systems. While the general theory
will be introduced, we will demonstrate it on a simple SSA single-object detection,
classification and tracking problem.
10:25 AAS Orbit Determination Of An Uncooperative RSO Using A Stereo Vision-Based
13-434 Sensor
Bharat Mahajan, Missouri University of Science and Technology; Henry Pernicka,
Missouri University of Science and Technology; Jacob Darling, Missouri University
of Science and Technology
Page 92
23 rd AAS / AIAA Space Flight Mechanics Meeting