Using Maximally-Flat and Genetic Algorithm Solutions to Achieve Wideband Radar Cloaking

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2017

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Abstract

This work revolves around Jaumann wave absorber, its solutions (either obtained through maximally flat solutions and through genetic algorithm), its possible implementation for designing wave absorbing and radar cloaking systems, and measurements of ambient RF energy in four Duke buildings to gauge the feasibility of harvesting energy from RF band.

The first part of introduction provides a short recap of radar, electromagnetic wave absorbers, and its equivalence to transmission line system. The next part describes a brief summary of the history of Jaumann wave absorber, its development over the years, and the short comings of previous attempts of finding its solutions. Finally, we conclude the introduction with contributions of this work.

The second chapter presents the mathematical formulation of Jaumann absorbers which is crucial in deriving its maximally flat solution. This chapter lays the foundation of which we explore other solutions through cut-and-try and genetic algorithm.

The third chapter expands the search for solutions through automated means. We first try the simple cut-and-try method before moving on to a more sophisticated genetic algorithm. The bulk of this chapter describes the details of genetic algorithm and how it is implemented into our Jaumann wave absorber problem.

The fourth chapter provides the results and analysis obtained from the algorithms described in previous chapter. However, only samples of such results are presented in this chapter while the bulk of the results is moved to Appendix \ref{Appendix:Genetic_Algorithm_Expanded_Results_Tables} for the sake of brevity.

The fifth chapter describes our experimental works in verifying a sample result of Jaumann wave absorber and measurement of ambient RF energy in four Duke buildings. We also include the measurement results and analysis in this chapter. A brief comparison for the ambient energy measurement to other studies in other locations and environment is also included.

Finally, the sixth chapter concludes this work.

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Samsul, Wiwi (2017). Using Maximally-Flat and Genetic Algorithm Solutions to Achieve Wideband Radar Cloaking. Dissertation, Duke University. Retrieved from https://hdl.handle.net/10161/16342.

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