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Presentation
Optimal Configuration of Receivers in an Ultrasonic 3D Position Estimation System by using Genetic Algorithms
American Control Conference, 2000. Proceedings of the 2000
  • Probir Kumar Ray
  • Ajay Mahajan, University of Akron, main campus
Document Type
Conference Proceeding
Publication Date
1-1-2000
Abstract

A novel 3D position estimation system has been developed that uses the difference in the time-of-arrivals (TOA) of an ultrasonic wave from a single transmitter to numerous receivers fixed in 3D space. This is a different approach to traditional systems that use the actual time-of-flights (TOF) from the transmitter to the different receivers and triangulate the position of the transmitter. The new approach makes the system more accurate, makes the transmitter independent of the receivers and does not require the need of calculating the time delay term that is inherent in traditional systems due to delays caused by the electronic circuitry. This paper presents a thorough analysis of receiver configurations in the 2D and 3D system that lead to singularities, i.e. locations of receivers that lead to formulations that can not be solved due to a shortage of information. It provides guidelines of where not to place receivers so as to get a robust system. It further presents a detailed analysis of locations that are optimal, i.e. locations that lead to the most accurate estimation of the transmitter positions. This is accomplished by using genetic algorithms to search for the optimal configurations. The results presented in this paper are not only applicable to ultrasonic systems but all systems that use wave theory, e.g. infrared, laser, etc. This work finds applications in virtual reality cells, robotics, guidance of indoor autonomous vehicles and vibrations.

Citation Information
Probir Kumar Ray and Ajay Mahajan. "Optimal Configuration of Receivers in an Ultrasonic 3D Position Estimation System by using Genetic Algorithms" American Control Conference, 2000. Proceedings of the 2000 Vol. 4 (2000) p. 2902 - 2906
Available at: http://works.bepress.com/ajay_mahajan/14/