Login Register Cart 0
Generic placeholder image

Recent Advances in Electrical & Electronic Engineering

Editor-in-Chief

ISSN (Print): 2352-0965
ISSN (Online): 2352-0973

Back
Journal Home About Journal Editorial Board Journal Insight Current Issue Volumes/Issues
Subscribe
Research Article

The Research of Improved Mean-Shift Algorithm used in Rapid Localization of Electromagnetic Objects under Specific Geographical Environment

Author(s): Xue Guang hui* and Lv Jun Wei

Volume 16, Issue 3, 2023

Published on: 16 November, 2022

Page: [224 - 238] Pages: 15

DOI: 10.2174/2352096516666221107115003

Price: $65

conference banner
Abstract

Background: The need for electromagnetic target positioning has grown increasingly important in recent years, especially in the field of communication, navigation and other electromagnetic fields.

Objective: The objective of this study is to find a method for electromagnetic target location in different geographical environment and improve the positioning accuracy of the electromagnetic target in specific geographical environments effectively.

Methods: This paper has proposed an improved Mean-shift Algorithm that can be used in the rapid localization of electromagnetic objects under specific geographical environments. The paper also analyses different interference source power prediction algorithms and gives out the analysis results of the different algorithms. Parameter adjustments of mean shift algorithm are also given out, and the related process in detail is presented.

Results: Through the suppression jamming source location experiment, the proposed method can be used in the rapid localization of electromagnetic objects under specific geographical environment, and its characteristics are better than other localization algorithms.

Conclusion: The proposed algorithm is suitable for the location of the electromagnetic target in a specific geographical environment, and its accuracy is greatly improved compared with the traditional method.

« Previous Next »
[1]
W. Hao, S.W. Min, and Gu. Hong, "In A novel Taylor series method for source and receiver localization using TDOA and FDOA measurements with uncertain receiver positions", Proceedings of 2011 IEEE CIE International Conference on Radar, 24-27 Oct, 2011, Chengdu, vol. 2, pp. 1037-1040, 2011.
[http://dx.doi.org/10.1109/CIE-Radar.2011.6159729]
[2]
R. Saab, and Ö. Yılmaz, "Sparse recovery by non convex optimization – Instance optimality", Appl. Comput. Harmon. Anal., vol. 29, no. 1, pp. 30-48, 2010.
[http://dx.doi.org/10.1016/j.acha.2009.08.002]
[3]
C. Kreucher, and M. Brennan, "A compressive sensing approach to multistatic radar change imaging", IEEE Trans. Geosci. Remote Sens., vol. 52, no. 2, pp. 1107-1112, 2014.
[http://dx.doi.org/10.1109/TGRS.2013.2247408]
[4]
Y. Guo, B. Hua, and L. Yue, "Energy-based target numeration in wireless sensor networks", Future Generat. Commun. Network., vol. 2, pp. 380-385, 2007.
[http://dx.doi.org/10.1109/FGCN.2007.116]
[5]
D.L. Donoho, Y. Tsaig, I. Drori, and J.L. Starck, "Sparse solution of underdetermined systems of linear equations by stagewise orthogonal matching pursuit", IEEE Trans. Inf. Theory, vol. 58, no. 2, pp. 1094-1121, 2012.
[http://dx.doi.org/10.1109/TIT.2011.2173241]
[6]
T. He, C. Huang, B.M. Blum, J.A. Stankovic, and T.F. Abdelzaher, "Range free localization and its impact on large scale sensor networks", ACM Trans. Embed. Comput. Syst., vol. 4, no. 4, pp. 877-906, 2005.
[http://dx.doi.org/10.1145/1113830.1113837]
[7]
F. Magalhães, F.M. Araújo, M.V. Correia, M. Abolbashari, and F. Farahi, "Active illumination single pixel camera based on compressive sensing", Appl. Opt., vol. 50, no. 4, pp. 405-414, 2011.
[http://dx.doi.org/10.1364/AO.50.000405] [PMID: 21283229]

Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy