Real-time modulation classification based on maximum likelihood

Wei Su; Jefferson L. Xu; Mengchu Zhou

doi:10.1109/LCOMM.2008.081107

Real-time modulation classification based on maximum likelihood

Wei Su, Jefferson L. Xu, Mengchu Zhou

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

84 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 language	English (US)
Pages (from-to)	801-803
Number of pages	3
Journal	IEEE Communications Letters
Volume	12
Issue number	11
DOIs	https://doi.org/10.1109/LCOMM.2008.081107
State	Published - 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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10.1109/LCOMM.2008.081107

Cite this

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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.",

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AU - Zhou, Mengchu

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AB - 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.

KW - Average likelihood ratio test

KW - Modulation classification

KW - Software-defined radio

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EP - 803

JO - IEEE Communications Letters

JF - IEEE Communications Letters

IS - 11

ER -

Real-time modulation classification based on maximum likelihood

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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