Discrete likelihood ratio test for intelligent signal recognition in software defined radio

Jefferson L. Xu, Mengchu Zhou, Wei Su

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Only very few computational complexity reduced automatic modulation recognition methods have been invented to satisfy the seamless demodulation requirement arising from software defined radio (SDR). Among them, a discrete likelihood ratio test (DLRT) based rapid estimation approach was introduced recently in our prior work and capable of identifying most of M-ary linear digital modulation schemes blindly in real-time. This paper intends to present its comprehensive performance evaluation results with a variety of classification cases.

Original languageEnglish (US)
Title of host publicationWOCC2010 Technical Program - The 19th Annual Wireless and Optical Communications Conference
Subtitle of host publicationConverging Communications Around the Pacific
DOIs
StatePublished - Aug 20 2010
Event19th Annual Wireless and Optical Communications Conference, WOCC2010: Converging Communications Around the Pacific - Shanghai, China
Duration: May 14 2010May 15 2010

Publication series

NameWOCC2010 Technical Program - The 19th Annual Wireless and Optical Communications Conference: Converging Communications Around the Pacific

Other

Other19th Annual Wireless and Optical Communications Conference, WOCC2010: Converging Communications Around the Pacific
Country/TerritoryChina
CityShanghai
Period5/14/105/15/10

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Communication

Keywords

  • Adaptive modulation
  • Maximum likelihood ratio test
  • Modulation classification
  • Modulation recognition
  • Software defined radio

Fingerprint

Dive into the research topics of 'Discrete likelihood ratio test for intelligent signal recognition in software defined radio'. Together they form a unique fingerprint.

Cite this