Nonlinearity estimation for specific emitter identification in multipath environment

Authors:
Ming-Wei Liu;John F. Doherty
Affiliations:
Department of Electrical Engineering, The Pennsylvania State University, University Park, PA;Department of Electrical Engineering, The Pennsylvania State University, University Park, PA
Venue:
SARNOFF'09 Proceedings of the 32nd international conference on Sarnoff symposium
Year:
2009

Citing 4
Cited 0

Adaptive filter theory (2nd ed.)

Adaptive filter theory (2nd ed.)
High Linearity RF Amplifier Design

High Linearity RF Amplifier Design
Pattern Classification (2nd Edition)

Pattern Classification (2nd Edition)
The multimodulus blind equalization and its generalized algorithms

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.00

Visualization

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 pmvide 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.