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Proceedings Paper

Space-based sensor and target engagement planning for the Midcourse Space Experiment
Author(s): C. Ray Mitchell; William Tom Prestwood
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Paper Abstract

This paper addresses the problem of determining the launch time of a ballistic target to allow a space-based sensor such as the Midcourse Space Experiment (MSX) satellite to collect multi- sensor data. The Midcourse Space Experiment addresses many Ballistic Missile Defense Organization (BMDO) systems issues concerned with surveillance, acquisition, tracking, and target discrimination using infrared, visible, and ultraviolet passive sensors. Targets of interest to BMDO National & Theater Missile Defense (NMD/TMD) programs address issues including missile acquisition against the hard-Earth, high altitude plume signatures, deployment of multiple bodies and pen-aids from a post-boost vehicle, resolved object track and discrimination, bulk filtering for debris, and re-entry viewing. Typical MSX data collection requirements for NMD and TMD experiments are presented along with the concept of a spacecraft feasible region. The NMD experiments use long and intermediate range type targets and the TMD experiments use shorter range type targets. The feasible region is introduced to describe the locus of satellite positions at target burnout that satisfy all data collection requirements over the resulting satellite/target encounter while not exceeding equipment constraints. Daily satellite drift and target launch windows are developed for typical MSX experiments being planned. Methodologies and techniques to be presented apply to any space-based sensor and ballistic target data collection scenario.

Paper Details

Date Published: 5 July 1995
PDF: 10 pages
Proc. SPIE 2484, Signal Processing, Sensor Fusion, and Target Recognition IV, (5 July 1995); doi: 10.1117/12.213014
Show Author Affiliations
C. Ray Mitchell, Teledyne Brown Engineering (United States)
William Tom Prestwood, U.S. Army Space and Strategic Defense Command (United States)

Published in SPIE Proceedings Vol. 2484:
Signal Processing, Sensor Fusion, and Target Recognition IV
Ivan Kadar; Vibeke Libby, Editor(s)

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