Mathematical and Statistical Models for the Spatio-Temporal Analysis of Electromagnetic Coupling in Complex Electronic Systems (University of Illinois)
Abstract
This proposal seeks support beginning 01 December 2019 for a basis (BA.1) research problem focused on the analysis of directed energy (DE) and counter-directed energy (Counter-DE) in generalized electromagnetic (EM) systems. There has been a growing and pressing need to rapidly assess vulnerability and susceptibility of Naval ships and facilities to electronics damage due toa directed high power radio-frequency (HPRF) attack. To address this need, it is essential to develop a comprehensive understanding of EM coupling totection,survivability against electronic warfare and HPRF threats. The goal of this project is to investigate first-principles mathematical and statistical models for the spatio-temporal analysis of EM coupling in large, complex Naval systems. Most existing predical limitations in analyzing broadband, short-pulse DE HPRF responses. To overcome these limitations, the proposed research is directly derived from the time-domain EM physics. The work achieves a physics-based model and simulation capability that predicts both spe-domain physics to develop predictive models, three major challenges are encountered: (i) the temporal multi-scale challenge in analyzing long-time cavity transient dynamics; (ii) the stochastic formulation to account for the probabilistic nature of spatialtemporalHPRF-induced fields; (iii) how to identify, characterize, and integrate both the systemspecific coupling and the wave-chaotic coupling in the predictive framework. The proposed research addresses each of these challenges. Challenge (i) is addressed by a new time-evolution Greens function and a space-time domain decomposition method. The researchovercomes the time-step limiastic formulation, which statistically replicates the multipath wave-chaotic dynamics inside cavity environments. Challenge (iii) is addressed by a unified time-domain predictive framework. The work rigorously quantifies various system-specific transient response, deterministic coupling characteristics.The outcomes will have a prominent impact in the Naval science and engineering discipline. We expect the results to achieve a deep-domain understanding of wave propagation in complex environments, to establish rigorous and versatile mathematical models in prediction and discoveryof the HPM effects, and provide an elegant and systematic way for the mitigation and protection of electronic systems. The innovative research methodology yields the following key benefits to the Navy: (i) statistical analysis of EM coupling in complicated and cascaded enclosures; (ii) rapid HPRF effects analysis of electronic subsystems in unmanned aerial vehicles; (iii) time-reversal designof agile HPRF waveforms to focus EM wave at the desired hot spots within the enclosure; and (iv) a complimentary capability for computer-aided analysis & design of nonlinear metamaterials.1 Given the keyories including: NRL High Power Microwave Section on the topic of HPRF coupling models (Dr. Timothy Andreadis, Mr. Zach Drikas and Mr. Jesus GilGil), Prof. Ahmed M. Hassan and Prof. Anthony Carusos group at University ofMissouri-Kansas City (UMKC) on the HRPF analysis of unmanned aerial vehicles, NAVAIR on the topic of statistical radar signature descriptions (Dr. Oliver Allen), and NRL Elec To accelerate the transformation from theoretical research to advancedcapability for DE/Counter-DE applications of Navy concerns, the statistical wave models developed in this project will be made available to these groups at an early stage of their development in order to disseminate the results and gather feedback. Throughout our research efforts, we will work closely with the Program Off
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 11, 2020
- Source ID
- N000142012835
Entities
People
- Zhen Peng
Organizations
- Office of Naval Research
- United States Navy
- University of Illinois Urbana–Champaign