Hybrid high-fidelity modeling of radar scenarios using atemporal, discrete-event, and time-step simulation

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dc.contributor.advisorBrutzman, Donald P.
dc.contributor.advisorPace, Phillip E.
dc.contributor.authorCheng, Yuan-Pin
dc.contributor.departmentComputer Science (CS)
dc.contributor.departmentModeling, Virtual Environments, and Simulation Institute (MOVES)
dc.dateDec-16
dc.date.accessioned2017-02-09T00:03:10Z
dc.date.available2017-02-09T00:03:10Z
dc.date.issued2016-12
dc.description.abstractMany simulation scenarios attempt to seek a balance between model fidelity and computational efficiency. Unfortunately, scenario realism and model level of detail are often reduced or eliminated due to the complexity of experimental design and corresponding limitations of computational power. Such simplifications can produce misleading results. For example, Radar Cross Section (RCS) effects in response to time-varying target aspect angle are dominant yet often ignored. This work investigates a new approach. A hybrid, high-fidelity sensor model can be achieved by using a Time-Step (TS) approach with precomputed atemporal response factors (such as RCS), each situated on active simulation entities that interact within an overall Discrete Event Simulation (DES) framework. This work further applies regression analysis to the cumulative results of 1,281 design points multiplied by 100 replications each to provide additional insight from massive results. Through a rigorous cross-validation (CV) for ensuring proper model selection, this new methodology adapts the best aspects of temporal control by each simulation approach, integrating multiple high-fidelity physically based models in a variety of tactical scenarios with tractable computational complexity. The meta-model generates statistically identical results as the baseline hybrid sensor model in mean with higher variation. This outcome sensor model performs in an efficient DES architecture by predicting only probability of detection (Pd) and time-to-detect (TTD) of the targets with the consideration of the range and the aspect relationship between the sensor and the target. The range and the aspect factors were ignored in current existing DES sensor models due to the overly simplified detection algorithm and the constraint of modeling complexity.en_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.
dc.description.serviceMajor, The Republic of China, Taiwan Armyen_US
dc.description.urihttp://archive.org/details/hybridhighfideli1094551670
dc.identifier.urihttps://hdl.handle.net/10945/51670
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsCopyright is reserved by the copyright owner.en_US
dc.subject.authorDiscrete Even Simulation (DES)en_US
dc.subject.authorradar range equationen_US
dc.subject.authorSimkiten_US
dc.subject.authorVisual Simkiten_US
dc.subject.authoratemporal modelen_US
dc.subject.authorhybrid sensor modelen_US
dc.subject.authorDES event graphen_US
dc.subject.authorNearly Orthogonal Latin Hyper Cube (NOLH)en_US
dc.subject.authorregression analysisen_US
dc.subject.authorcross-validationen_US
dc.titleHybrid high-fidelity modeling of radar scenarios using atemporal, discrete-event, and time-step simulationen_US
dc.typeThesisen_US
dspace.entity.typePublication
etd.thesisdegree.disciplineModeling, Virtual Environments, and Simulation Institute (MOVES)en_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.thesisdegree.levelDoctoralen_US
etd.thesisdegree.nameDoctor of Philosophy in Modeling, Virtual Environments, and Simulationen_US
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