Accession Number:

ADA616791

Title:

Information Theoretic Criteria for Observation-to-Observation Association

Descriptive Note:

Conference paper

Corporate Author:

AIR FORCE RESEARCH LAB KIHEI MAUI HI DETACHMENT 15

Personal Author(s):

• Hussein, Islam I.
• Roscoe, Christopher W.
• Wilkins, Matthew P.
• Schumacher, Jr, Paul W.

Report Date:

2014-09-01

Pagination or Media Count:

17.0

Abstract:

There are three types of data association problems. The first is the observation-to-track association OTTA problem, where given an observation with some known measurement statistics and a set of existing candidate uncertain resident space object RSO tracks the analyst seeks to associate each observation with a unique track or none. The second association problem is where we have multiple tracks at different time instances and wish to determine whether any of the tracks belong to the same RSO. This is the track-to-track association TTTA problem. The final association problem is where we are given a set of observations at different time instances and wish to determine which of these observations were generated by the same RSO. This is the observation-to-observation association OTOA problem. The focus of our paper is the OTOA problem. In this paper, we tackle the OTOA problem by using an appropriate initial orbit determination IOD method as well as criteria from information theory. The two main criteria we use in this paper are mutual information and information divergence. We demonstrate how these two criteria can be used within an unscented transform framework as well as with a particle-based approach. The information theoretic solutions described in this paper can be adjusted to address the other OTTA and TTTA association problems, which will be the focus of future research. We will demonstrate the main result in simulation.

Descriptors:

• *INFORMATION THEORY
• STOCHASTIC PROCESSES

Subject Categories:

• Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE