Sound-Based ranging system in greenhouse environment with multipath effect compensation using artificial neural network

  • Authors:

  • Slamet Widodo;Tomoo Shiigi;Naing Min Than;Yuichi Ogawa;Naoshi Kondo

  • Affiliations:

  • Division of Environmental Science and Technology Graduate School of Agriculture, Kyoto University, Sakyoku, Kyoto, Japan;Division of Environmental Science and Technology Graduate School of Agriculture, Kyoto University, Sakyoku, Kyoto, Japan;Division of Environmental Science and Technology Graduate School of Agriculture, Kyoto University, Sakyoku, Kyoto, Japan;Division of Environmental Science and Technology Graduate School of Agriculture, Kyoto University, Sakyoku, Kyoto, Japan;Division of Environmental Science and Technology Graduate School of Agriculture, Kyoto University, Sakyoku, Kyoto, Japan

  • Venue:
  • ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV
  • Year:
  • 2012

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Abstract

In this study, sound-based ranging system in greenhouse environment with compensation of measurement error caused by multipath effect using Artificial Neural Network (ANN) was proposed. Greenhouse environment has special characteristic which is different with condition where the similar system that previously developed were applied. There are challenges need to be handled in developing accurate ranging system in greenhouse such as high humidity, temperature gradient, wind, and obstacles. In this study, error compensation was performed by first estimating the measurement error using some features extracted from the cross-correlation wave of the received signal by using ANN. Then, the estimated value was used to compensate the measurement error. The experiment result showed the feasibility to apply the proposed method to improve accuracy of sound-based ranging system in greenhouse environment.