Accession Number : ADA435651
Title : Electronic Attack and Sensor Fusion Techniques for Boost-phase Defense Against Multiple Ballistic Threat Missiles
Descriptive Note : Master's thesis
Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA
Personal Author(s) : Yildiz, Kursad
Full Text : http://www.dtic.mil/get-tr-doc/pdf?AD=ADA435651
Report Date : JUN 2005
Pagination or Media Count : 178
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.
Descriptors : *BALLISTIC MISSILE INTERCEPT SYSTEMS , *SENSOR FUSION , OUTPUT , GUIDED MISSILES , SIMULATION , ELECTRONICS , MEASUREMENT , POSITION(LOCATION) , DETECTORS , DEFENSE SYSTEMS , BOOST PHASE , THREATS , ATTACK , KALMAN FILTERING , THESES , TARGETS , ERRORS , RADAR CROSS SECTIONS , DECOYS , CHAFF , GUIDED MISSILE COMPONENTS , NOISE JAMMING , RADAR NAVIGATION , KILL VEHICLES.
Subject Categories : ANTIMISSILE DEFENSE SYSTEMS
Distribution Statement : APPROVED FOR PUBLIC RELEASE