Real-time modulation classification based on maximum likelihood

Wei Su, Jefferson L. Xu, Mengchu Zhou

Research output: Contribution to journalArticlepeer-review

58 Scopus citations

Abstract

This paper describes a likelihood test based modulation classification method for identifying the modulation scheme of a software-defined radio (SDR) in real-time without pilot symbols between transmitters and receivers. Unlike the prior art, the paper converts an unknown signal symbol to an address of the look-up table (LUT), loads the pre-calculated values of the test functions for the likelihood ratio test, and produces the estimated modulation scheme in real-time. The statistical performance of the LUT based classifier is studied. Simulation results are presented to confirm the theoretical analysis.

Original languageEnglish (US)
Pages (from-to)801-803
Number of pages3
JournalIEEE Communications Letters
Volume12
Issue number11
DOIs
StatePublished - Dec 10 2008

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

Keywords

  • Average likelihood ratio test
  • Modulation classification
  • Software-defined radio

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