A Network Selection and Optimization Approach for Ground-based Positioning Systems

F. Sadi, R. Klukas, A.S. Milani

Abstract: This paper presents a method for designing a Ground Based Positioning network which is optimal in terms of performance, cost, and other relevant factors. The number and locations of base stations, transmission power, base station height and transmission frequency are selected as the design factors to be optimized. Implementation cost and time, maintenance cost, reliability and horizontal po- sition error are considered as the design constraints for the network designer. Factorial design, analysis of vari- ance and Multi-Criteria Decision Making techniques are used to address the network optimization problem. The entire procedure is conducted in three steps. In the ¯rst step, a factorial design table is constructed and analysis of variance is performed to ¯nd the optimum base sta- tion locations among the available sites. In the second step the optimized design solution for a particular num- ber of base stations is deduced. Finally in the third step, through Multi-Criteria Decision Making, the best solution is selected while optimally meeting the design constraints. A simulation is conducted for a hypothetical area, with urban, suburban, and rural propagation environments, in which a Ground Based Positioning network needs to be established. The example demonstrates how to use the proposed method and arrive at an optimum solution.
Published in: Proceedings of the 23rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2010)
September 21 - 24, 2010
Oregon Convention Center, Portland, Oregon
Portland, OR
Pages: 1166 - 1174
Cite this article: Sadi, F., Klukas, R., Milani, A.S., "A Network Selection and Optimization Approach for Ground-based Positioning Systems," Proceedings of the 23rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2010), Portland, OR, September 2010, pp. 1166-1174.
Full Paper: ION Members/Non-Members: 1 Download Credit
Sign In