Nonlinearity estimation for specific emitter identification in multipath environment

Ming Wei Liu, John F. Doherty

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

8 Scopus citations

Abstract

We propose an algorithm based on the knowledge of training sequences to obtain an asymptotically unbiased estimator of the Radio Frequency (RF) front-end nonlinearity to perform Specific Emitter Identification (SEI). In most SEI literature Inter Symbol Interference (ISI) is seldom considered; however, it is a major limiting factor in SEI systems and should be suppressed to achieve reliable identification. In this paper we develop a nonlinearity estimator that can overcome ISI and provide reliable estimation. The method is shown to achieve nonlinearity estimation and radio emitter identification over an empirical indoor channel model using an Orthogonal Frequency Division Multiplexing (OFDM) system.

Original languageEnglish (US)
Title of host publication2009 IEEE Sarnoff Symposium, SARNOFF 2009 - Conference Proceedings
DOIs
StatePublished - Jul 23 2009
Event2009 IEEE Sarnoff Symposium, SARNOFF 2009 - Princeton, NJ, United States
Duration: Mar 30 2009Apr 1 2009

Publication series

Name2009 IEEE Sarnoff Symposium, SARNOFF 2009 - Conference Proceedings

Other

Other2009 IEEE Sarnoff Symposium, SARNOFF 2009
CountryUnited States
CityPrinceton, NJ
Period3/30/094/1/09

All Science Journal Classification (ASJC) codes

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

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