2D Indoor Direction and Location Finding System Based on Gradient Descent Machine Learning Algorithm
Author:
Funder
Pusan National University
Publisher
Korean Institute of Electromagnetic Engineering and Science
Link
http://jkiees.org/download/download_pdf?doi=10.5515/KJKIEES.2021.32.3.289
Reference8 articles.
1. B. J. Jang, “Direction finding technology: Tutorial, review, and research prospects,” The Journal of Korean Institute of Electromagnetic Engineering and Science, vol. 30, no. 8, pp. 607-617, Aug. 2019. 10.5515/KJKIEES.2019.30.8.607
2. X. Wang, Y. Xiong, and W. Huang, “An accurate direction finding scheme using virtual antenna array via smartphones,” Sensors, vol. 16, no. 11, pp. 1-22, Oct. 2016. 10.3390/s16111811 27801866 PMC5134470
3. W. Huang, Y. Xiong, X. Y. Li, H. Lin, X. Mao, and P. Yang, et al., “Swadloon: Direction finding and indoor localization using acoustic signal by shaking smartphones,” IEEE Transactions on Mobile Computing, vol. 14, no. 10, pp. 2145-2157, Oct. 2015. 10.1109/TMC.2014.2377717
4. S. Lee, H. Yoon, H. Choo, and B. J. Jang, “Implementation of real-time direction finding system using time-modulated array with two antenna elements and one USRP,” The Journal of Korean Institute of Electromagnetic Engineering and Science, vol. 28, no. 4, pp. 347-350, Apr. 2017. 10.5515/KJKIEES.2017.28.4.347
5. M. H. Chae, “Accuracy analysis of 2-D direction finding based on phase comparison,” The Journal of Korean Institute of Electromagnetic Engineering and Science, vol. 28, no. 8, pp. 653-660, Aug. 2017. 10.5515/KJKIEES.2017.28.8.653
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