Date of Award


Document Type


Degree Name

Master of Science in Electrical Engineering


Department of Electrical and Computer Engineering

First Advisor

Andrew J. Terzuoli, Jr., PhD


A wire antenna is designed for optimal performance at low elevation angles in the presence of a lossy half-space. A simple genetic algorithm (GA) and GENOCOP III software are each integrated with Numerical Electromagnetics Code Version 4.1 (NEC4.1) to optimize a wire antenna geometry for multiple objectives: power gain, azimuthal symmetry, and input impedance. The performance of the two versions of the integrated GA are compared. Several of the resulting antennas are analyzed, and an antenna is proposed for use in a Remote Intrusion Monitoring System (RIMS). Simulations suggest that the proposed antenna, which is well-matched, offers a significant increase in power gain at low elevation angles compared to the quarter-wavelength monopole. The performance of the proposed antenna surpasses that of the monopole at the necessary frequencies and a wide range of soil types. Also, the new antenna performance is not degraded by structure geometry perturbations.

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DTIC Accession Number