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Amirkhani, Z., Madani, M., Sadidpour, S., Momeni, A. (2015). Increasing the Accuracy of Locating in Wireless Communication Systems Based on Neural Networks. Electronic and Cyber Defense, 3(3), 31-38.
Zahra Amirkhani; Mohammad Hossein Madani; Saeideh Sadat Sadidpour; Amir Hossein Momeni. "Increasing the Accuracy of Locating in Wireless Communication Systems Based on Neural Networks". Electronic and Cyber Defense, 3, 3, 2015, 31-38.
Amirkhani, Z., Madani, M., Sadidpour, S., Momeni, A. (2015). 'Increasing the Accuracy of Locating in Wireless Communication Systems Based on Neural Networks', Electronic and Cyber Defense, 3(3), pp. 31-38.
Amirkhani, Z., Madani, M., Sadidpour, S., Momeni, A. Increasing the Accuracy of Locating in Wireless Communication Systems Based on Neural Networks. Electronic and Cyber Defense, 2015; 3(3): 31-38.

Increasing the Accuracy of Locating in Wireless Communication Systems Based on Neural Networks

پدافند الکترونیکی و سایبری
Article 3, Volume 3, Issue 3, February 2020, Pages 31-38    PDF (826.86 K)
Authors
Zahra Amirkhani* 1; Mohammad Hossein Madani2; Saeideh Sadat Sadidpour3; Amir Hossein Momeni3
1Master's student, Malik Ashtar University of Technology, Tehran, Iran
2Associate Professor, Malik Ashtar University of Technology, Tehran, Iran
3PhD student, Malik Ashtar University of Technology, Tehran, Iran
Receive Date: 30 August 2014,  Revise Date: 21 June 2023,  Accept Date: 19 September 2018 
Abstract
The exact location of wireless communication systems aimed at both military and civilian applications is
an important issue. In wireless communication networks, the user's location is done by using the measured
signals time of arrival (TOA) from MS to BS. One of the most accurate methods for determining the
TOA -based location systems is the use of neural networks.
In this paper, a new algorithm is provided to improve the accuracy of locating based on BP neural
network. In the newly proposed algorithm, instead of possible crossing points of TOA circles as neural
network input, radius of TOA circle is used that much less than the previous method of complexity and
accuracy is increased. Analysis and simulations show reduction positioning errors to a greater extent than
half in the new algorithm compared to the previous method and it shows the location carefully.
Keywords
the accuracy of locating; wireless communication systems; neural networks
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