Optimal Detector for Multitaper Spectrum Estimator in Cognitive Radios

@article{Chiang2009OptimalDF,
  title={Optimal Detector for Multitaper Spectrum Estimator in Cognitive Radios},
  author={Tsung-Wei Chiang and Jung-Mao Lin and Hsi-Pin Ma},
  journal={GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference},
  year={2009},
  pages={1-6}
}
In this paper, the authors propose an optimal detector for the Thomson’s multitaper spectral estimation (MTSE) in cognitive radios for spectrum sensing. The MTSE is used for spectral estimation and then the proposed detector can detect primary users and spectrum holes in cognitive radios. The detector is optimized based on the Neyman-Pearson Theorem. The analytical detection performance (probability of detection) of detecting primary users (PUs) and spectrum holes in spectrum sensing is… CONTINUE READING

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View 4 Excerpts

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View 2 Excerpts

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View 1 Excerpt

References

Publications referenced by this paper.
Showing 1-10 of 19 references

Distributed Autocorrelation-Based Sequential Detection of OFDM Signals in Cognitive Radios

2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008) • 2008
View 5 Excerpts
Highly Influenced

A Comparison of Three Classes of Spectrum Sensing Techniques

IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference • 2008
View 3 Excerpts

SNR Walls for Signal Detection

IEEE Journal of Selected Topics in Signal Processing • 2008
View 1 Excerpt

Covariance Based Signal Detections for Cognitive Radio

2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks • 2007
View 1 Excerpt

Spectrum Sensing Performance in TV Bands using the Multitaper Method

2007 IEEE 15th Signal Processing and Communications Applications • 2007
View 1 Excerpt

The Multitaper Method for Accurate Spectrum Sensing in Cognitive Radio Environments

2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers • 2007
View 1 Excerpt

Spectrum Characterization for Opportunistic Cognitive Radio Systems

MILCOM 2006 - 2006 IEEE Military Communications conference • 2006
View 1 Excerpt

Cognitive radio: brain-empowered wireless communications

IEEE Journal on Selected Areas in Communications • 2005
View 1 Excerpt

Multitaper analysis of nonstationary and nonlinear time series data

D. J. Thomson
Nonlinear and Nonstationary Signal Processing, W. Fitzgerald, R. Smith, A. Walden, and P. Young, Eds. London,U.K.: Cambridge University Press, 2000, pp. 317-394. • 2000

Highlights of statistical signal and array processing

A. Hero, H. Messer, +23 authors J. Krolik
IEEE Signal Process. Mag., vol. 15, pp. 21–64, Sep. 1998. • 1998
View 2 Excerpts

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