Interference Emitter Localization Based on Hyperbolic Passive Location in Spectrum Monitoring

  • Yixuan WangEmail author
  • Zhifei Yang
  • Rui Gao
  • Jianhui Yang
  • Tianfeng Yan
  • Qinghua Hu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 905)


Interference signals can always be found during spectrum monitoring, which has a serious impact in the regular use of radio business [1]. Sometimes is difficult to shied it by suppress signal, so it is becoming increasingly important to find the location of the interference emitter [2]. This paper proposed an effective technique in interference emitter localization based on intersections of hyperbolic curves defined by the time differences of arrival of a signal received at three monitoring stations. The approach is noniterative and gives an explicit solution. In the end, this paper token a field test based on the hardware platform, the final result is given.


TDOA Spectrum monitoring Hyperbolic Passive location 



Thanks to the experimental data provided by the Institute of Digital Signal Processing and Software-Defined Radio, Lanzhou Jiaotong University. In addition, this work was supported by Youth Science Foundation of Lanzhou Jiaotong University under Grant No. 2018003, No. 2018028, No. 2015009, Opening Foundation of Key Laboratory of Opto-technology and Intelligent Control (Lanzhou Jiaotong University) Ministry of Education (KFKT2018-16), Innovation Fond Project of Lanzhou Jiaotong University and Tianjin University under Grant No. 2018062, Scientific Research plan projects of Gansu Education Department under Grant No. 2017C-09, Lanzhou Science and Technology Bureau under Grant No. 2018-1-51.


  1. 1.
    Li, J.S., Shao, Y.B., Long, H.: Research on wireless interference source localization based on grid spectrum monitoring. Computer Science (2017)Google Scholar
  2. 2.
    Bull, J.F., Ward, M.L.: Interference detection, characterization and location in a wireless communications or broadcast system. In: IEEE International Conference on Communications, pp. 2979–2984 (2015)Google Scholar
  3. 3.
    Hu, L.Z.: Passive Location. National Defense Industry Press, Beijing (2004)Google Scholar
  4. 4.
    Chang, Y.T.: Simulation and implementation of an integrated TDOA/AOA monitoring system for preventing broadcast interference. J. Appl. Res. Technol. 12(6), 1051–1062 (2014)CrossRefGoogle Scholar
  5. 5.
    Zhang, Z.M., Li, H.W.: TDOA localization method and analysis. Electron. Warfare 5, 19–24 (2000)Google Scholar
  6. 6.
    Chan, Y.T., Ho, K.C.: A simple and efficient estimator for hyperbolic location. IEEE Trans. Signal Process. 42(8), 1905–1915 (2002)CrossRefGoogle Scholar
  7. 7.
    Xu, B.X., Xiao, Y.: The Mathematical Transformation and Estimation Method in Signal Processing. Tsinghua University Press Ltd., China (2004)Google Scholar
  8. 8.
    Jiang, X.: Research of Passive Location Technology and Application. University of Electronic Science and Technology (2008)Google Scholar
  9. 9.
    Knapp, C., Carter, G.: The generalized correlation method for estimation of time delay. IEEE Trans. Acoust. Speech Signal Process. 24(4), 320–327 (2003)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Yixuan Wang
    • 1
    Email author
  • Zhifei Yang
    • 1
  • Rui Gao
    • 1
  • Jianhui Yang
    • 1
  • Tianfeng Yan
    • 1
  • Qinghua Hu
    • 2
  1. 1.School of Electronic and Information EngineeringLanzhou Jiaotong UniversityLanzhouChina
  2. 2.School of Computer Science and TechnologyTianjin UniversityTianjinChina

Personalised recommendations