CUSUM-based Joint Jammer Detection and Localization

Jeongae Choi, Muhammad Ozair Mughal, Youngjune Choi, Donghyun Kim, José A. López-Salcedo, Sunwoo Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The goal of this paper is to detect a change in observations quickly and more importantly its application to localization using time difference. The change point detection problem with sequential observations is called sequential detection or quickest detection. In the assumed model, distributed sensors are considered to be monitoring a system in which an abrupt change caused by a jamming signal occurs at some unknown time. We propose a framework using the quickest detection with cumulative sum (CUSUM) test which is well-known to be optimal for a non-Bayesian statistical change-point detection formulation. At each time, the distributed sensors decide about the presence or absence of any jamming signal. Once the sensors get a decision and transmit it to fusion center, then fusion center localizes the jammer. In the end, the results are evaluated using computer simulations.

Original languageEnglish
Title of host publication2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538651919
DOIs
Publication statusPublished - 2019 Jan 11
Event2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018 - Seoul, Korea, Republic of
Duration: 2018 Oct 222018 Oct 25

Publication series

Name2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018

Conference

Conference2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018
CountryKorea, Republic of
CitySeoul
Period18/10/2218/10/25

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Keywords

  • CUSUM
  • Localization
  • Quickest detection
  • TDOA
  • Wireless sensor network

Cite this

Choi, J., Mughal, M. O., Choi, Y., Kim, D., López-Salcedo, J. A., & Kim, S. (2019). CUSUM-based Joint Jammer Detection and Localization. In 2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018 [8610497] (2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DySPAN.2018.8610497