Skip to main content
SpringerLink
Log in

Classification of MPSK signals using cumulant invariants

  • Letters
  • Published:
Journal of Electronics (China)

Abstract

A new feature based on higher order statistics is proposed for classification of MPSK signals, which is invariant with respect to translation (shift), scale and rotation transforms of MPSK signal constellations, and can suppress additive color or white Gaussian noise. Application of the new feature to classification of MPSK signals, at medium signal-to-noise ratio with specified sample size, results in high probability of correct identification. Finally, computer simulations and comparisons with existing algorithms are given.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

References

  1. K. Kim, A. Polydoros, Digital modulation classification: The BPSK versus QPSK case, MILCOM’88, San Diego, CA, 1988, 431–436.

  2. Yang Yawpo, S. S. Soliman, An improved moment-based algorithm for signal classification, Signal Processing, 43(1995)3, 231–244.

    Article  Google Scholar 

  3. A. O. HeroIII, H. Hadinejad Mahram, Digital modulation classification using power moment matrices, ICASSP’98, Seattle, Washington, 1998, 3285–3288.

  4. Li Yajun, Reforming the theory of invariant moments for pattern recognition, Pattern Recognition, 25(1992)7, 723–730.

    Article  Google Scholar 

  5. A. Swami, B. M. Sadler, Hierarchical digital modulation using cumulants, IEEE Trans. on Communications, 48(2000)3, 416–429.

    Article  Google Scholar 

  6. J. G. Proakis, Digital Communication, Third Ed., New York, McGraw-Hill, Inc., 1995, chapter 4.

    Google Scholar 

  7. C. L. Nikias, Higher-Order Spectra Analysis—A Nonlinear Signal Processing Framework, Englewood Cliffs, New Jersey, Prentice Hall, 1993, chaper2.

    MATH  Google Scholar 

  8. V. Chandran, S. L. Elgar, Pattern recognition using invariants defined from higher order spectra—one dimensional inputs, IEEE Trans. on Signal Processing, 41(1993)1, 205–212.

    Article  MATH  Google Scholar 

  9. D. Dembeie, G. Favier, Recursive estimation of fourth-order cumulants with application to identification, Signal Processing, 68(1998)2, 127–139.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Electronic Engineering, Xidian University, 710071, Xi’an

    Yang Shaoquan & Chen Weidong

Authors
  1. Yang Shaoquan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chen Weidong
    View author publications

    You can also search for this author in PubMed Google Scholar

About this article

Cite this article

Yang, S., Chen, W. Classification of MPSK signals using cumulant invariants. J. of Electron.(China) 19, 99–103 (2002). https://doi.org/10.1007/s11767-002-0018-y

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11767-002-0018-y

Key words

Search

Navigation