Performance Evaluation and System Implementation of a Radio-Wave Direction Finding System Based on Neural Networks 


Vol. 42,  No. 10, pp. 1896-1903, Oct.  2017
10.7840/kics.2017.42.10.1896


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  Abstract

Various IoT(Internet of Things) devices are being used directly in our daily life. However, these wireless devices can be abused as the purpose of wiretapping, hidden cameras, or radio interference. Therefore, a direction finding technique is one of important techniques in IoT era. The previous direction finding algorithms such as MUSIC, RootMUSIC, and ESPRIT are wildly used because of their robustness and high accuracy based on mathematical/statistical models. However, these techniques are required computational intensive operations(i.e. eigenvalue decomposition). Researchers, alternatively, have studied new direction finding algorithms based on neural networks. In this paper, we describe a neural network direction finding algorithm based on RBF and test the performance of the algorithm according to the number of antennas and noise levels. Finally, we have built a direction finding platform with SDR(software defined radio) equipment, and show that it works as well in real environment.

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  Cite this article

[IEEE Style]

M. Cho, D. H. Lee, S. Y. Baek, W. H. Kim, J. Kim, "Performance Evaluation and System Implementation of a Radio-Wave Direction Finding System Based on Neural Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 10, pp. 1896-1903, 2017. DOI: 10.7840/kics.2017.42.10.1896.

[ACM Style]

Minkyung Cho, Dae Heon Lee, Seon Yeob Baek, Woong Hee Kim, and Jong-Kyu Kim. 2017. Performance Evaluation and System Implementation of a Radio-Wave Direction Finding System Based on Neural Networks. The Journal of Korean Institute of Communications and Information Sciences, 42, 10, (2017), 1896-1903. DOI: 10.7840/kics.2017.42.10.1896.

[KICS Style]

Minkyung Cho, Dae Heon Lee, Seon Yeob Baek, Woong Hee Kim, Jong-Kyu Kim, "Performance Evaluation and System Implementation of a Radio-Wave Direction Finding System Based on Neural Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 10, pp. 1896-1903, 10. 2017. (https://doi.org/10.7840/kics.2017.42.10.1896)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880