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

Authors

1 Master's student, Malik Ashtar University of Technology, Tehran, Iran

2 Associate Professor, Malik Ashtar University of Technology, Tehran, Iran

3 PhD student, Malik Ashtar University of Technology, Tehran, Iran

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

References

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Electronic and Cyber Defense
Volume 3, Issue 3 - Serial Number 3
February 2020
Pages 31-38

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History

  • Receive Date: 30 August 2014
  • Revise Date: 21 June 2023
  • Accept Date: 19 September 2018
  • Publish Date: 22 November 2015

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