Skip to main content

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 414))

  • 983 Accesses

Abstract

This chapter provides background information for both robust and distributed detection, and this underpins the development of theory presented in subsequent chapters.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

References

  1. M. Alanyali, S. Venkatesh, O. Savas, and S. Aeron, Distributed Bayesian hypothesis testing in sensor networks, Proceedings of the American Control Conference 2004, vol. 6. pp. 5369–5374 2004.

    Google Scholar 

  2. M. Cherikh and P. B. Kantor, “Counterexamples in distributed detection,” IEEE Transactions on Information Theory, vol. 38, no. 1, pp. 162–165, 1992.

    Article  Google Scholar 

  3. B. C. Levy, Principles of Signal Detection and Parameter Estimation, 1st ed. Springer Publishing Company, Incorporated, 2008.

    Book  Google Scholar 

  4. J. V. Neumann, “Zur theorie der gesellschaftsspiele,” Mathematische Annalen, vol. 100, pp. 295–320, 1928.

    Article  MathSciNet  MATH  Google Scholar 

  5. W. Rudin, Principles of Mathematical Analysis, ser. International series in pure and applied mathematics. Paris: McGraw-Hill, 1976.

    MATH  Google Scholar 

  6. M. Shiftman, “On the equality min max=max min, and the theory of games,” RAND Report, no. RM-243, 1949.

    Google Scholar 

  7. F. Suratman and A. Zoubir, “Collaborative spectrum sensing in cognitive radio using hard decision combining with quality information,” in Statistical Signal Processing Workshop (SSP), 2011 IEEE, June 2011, pp. 377–380.

    Google Scholar 

  8. S. Thomopoulos, R. Viswanathan, and D. Bougoulias, “Optimal decision fusion in multiple sensor systems,” Aerospace and Electronic Systems, IEEE Transactions on, vol. AES-23, no. 5, pp. 644–653, Sept 1987.

    Google Scholar 

  9. J. N. Tsitsiklis, “Decentralized detection by a large numb. of sensors,” Mathematics of Control, Signals, and Systems, pp. 167–182, 1988.

    Google Scholar 

  10. J. N. Tsitsiklis, “Decentralized detection,” in In Advances in Statistical Signal Processing. JAI Press, 1993, pp. 297–344.

    Google Scholar 

  11. J. Tsitsiklis and M. Athans, “On the complexity of decentralized decision making and detection problems,” Automatic Control, IEEE Transactions on, vol. 30, no. 5, pp. 440–446, May 1985.

    Google Scholar 

  12. P. K. Varshney, Distributed detection and data fusion, 1st ed. Secaucus, NJ, USA: Springer-Verlag New York, Inc., 1996.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gökhan Gül .

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Gül, G. (2017). Background. In: Robust and Distributed Hypothesis Testing. Lecture Notes in Electrical Engineering, vol 414. Springer, Cham. https://doi.org/10.1007/978-3-319-49286-5_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-49286-5_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49285-8

  • Online ISBN: 978-3-319-49286-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics