Electronic attack and sensor fusion techniques for boot-phase defense against multiple ballistic threat missiles

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Authors
Yildiz, Kursad
Subjects
Boost-phase Ballistic Missile Intercept
Modeling
Simulation
Kalman filtering
Electronic Attack Effects
Proportional Navigation
Radar Cross Section Reduction
RF Sensors
Data Fusion
Decoys
Noise Jamming
chaff
Gating
Ellipsoidal Gate
JPDA
Data Association
Kill Vehicle
Advisors
Pace, Phillip E.
Tummala, Murali
Date of Issue
2006-09
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
The first objective of this thesis is to investigate the effect of several forms of electronic attack (EA) on the radio frequency (RF) sensors used within a boost-phase ballistic missile intercept system. The EA types examined include noise jamming, chaff, radar cross section (RCS) reduction, and expendable decoys. Effects of the EA methods are evaluated by examining the track position error at the sensor fusion output. Sensor fusion architectures investigated include a weighted average sensor fusion; Kalman-filter-based sensor fusion, and joint probabilistic data fusion architecture. A second objective of this thesis is to extend the single-target, single-interceptor analysis and simulation to a multi-target, multi-interceptor scenario to include the formation of an ellipsoidal gating process to correctly correlate the target measurements with the corresponding track file. We show that the most effective EA is the use of noise jamming followed by a RCS reduction of the missile body. We also show that a properly designed sensor fusion process can effectively mitigate the EA techniques that might be used in a boostphase intercept scenario.
Type
Thesis
Description
Series/Report No
Identifiers
NPS Report Number
Sponsors
Funder
Format
xvi, 160 p. : col. ill. ;
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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