From decision fusion to localization in radar sensor networks: A game theoretical view

Chuan Huang, Xu Chen, Junshan Zhang

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

Abstract

This paper considers the localization problem in a radar sensor network (RSN), where the estimation is made based on fusing the received signals from multiple radar sensors. For practical radar receivers, the moving target indication (MTI) technique is often adopted to suppress the clutter in the relatively small Doppler frequency shift regime, although it may filter out the desired target signal as well. As a result, when multiple radar sensors are deployed and the target is moving along one direction, it is likely that only a subset of the radar receivers can observe the target, which we call an observation pattern. In this paper, we explore how to utilize the information of all possible observation patterns to derive the Cramer-Rao lower bound (CRLB) for the localization problem, which is shown to hinge heavily on radars and the prior statistic information of the observation patterns. Next, we generalize the localization problem to the case for an area, and investigate the localization games between the RSN and the intrude target. We propose a two-stage Stakcelberg game framework to model the interactions between the RSN and the target, for cases that the target can adopt mixed and pure strategies, respectively. Finally, numerical results demonstrate that the proposed scheme can significantly improve the localization performance.

Original languageEnglish (US)
Title of host publicationWireless Algorithms, Systems, and Applications - 8th International Conference, WASA 2013, Proceedings
Pages233-243
Number of pages11
DOIs
StatePublished - Aug 5 2013
Event8th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2013 - Zhangjiajie, China
Duration: Aug 7 2013Aug 10 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7992 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2013
CountryChina
CityZhangjiajie
Period8/7/138/10/13

Keywords

  • Localization
  • Stackelberg game
  • observation pattern
  • radar range
  • radar sensor networks

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Huang, C., Chen, X., & Zhang, J. (2013). From decision fusion to localization in radar sensor networks: A game theoretical view. In Wireless Algorithms, Systems, and Applications - 8th International Conference, WASA 2013, Proceedings (pp. 233-243). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7992 LNCS). https://doi.org/10.1007/978-3-642-39701-1_20