Near-Optimal Antenna Placement Using Genetic Search
Abstract
The optimal placement of ground stations and antennas in the Air Force Satellite Control Network (AFSCN) to support the operation of a large set of satellites is a very difficult problem involving many complex, interacting constraints and requirements. This paper explores the application of genetic search techniques to antenna-placement optimization. The performance index used in the genetic search optimization was based on a candidate configuration's cost. Requirements on the number of satellite contacts that could be scheduled with the configuration were imposed as constraints. adequate support for a given set of satellites. Three different genetic search formulations of the antenna placement optimization problem were designed using this set of performance index and constraints. The first two genetic search formulations assumed that antenna placement was restricted to a pre-existing set of candidate ground site locations. The third genetic search formulation allowed for ground stations to be placed at any location on the Earth, though locations not inside predefined feasible regions were eliminated. The three genetic search formulations all found cost-effective solutions to the placement problem while maintaining serviceability.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2000
- Accession Number
- ADA436387
Entities
People
- Lara S. Crawford
- Rich Burns
- Shiang Liu
- Victor H. Cheng