DocumentCode
1891481
Title
Wireless device identification in MIMO channels
Author
Liu, Ming-Wei ; Doherty, John F.
Author_Institution
Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA
fYear
2009
fDate
18-20 March 2009
Firstpage
563
Lastpage
567
Abstract
A data-aided iterative algorithm to estimate the nonlinearities of wireless emitters for specific emitter identification (SEI) is presented. To achieve robust estimation, inter symbol interference (ISI) is removed by iteratively estimating the channel coefficients and nonlinear transmit symbols to achieve asymptotically unbiased estimation. The complexity of the iteration procedure is further reduced by increasing the step size of the iteration result. The algorithm is applicable to various communication systems where multiple amplitude level schemes are used such as QAM, OFDM, and PAM in multiple-input multiple-output (MIMO) channels. Numerical results are shown which achieve nonlinearity estimation and radio emitter identification over empirical channel models using an orthogonal frequency division multiplexing (OFDM) MIMO system.
Keywords
MIMO communication; OFDM modulation; intersymbol interference; iterative methods; MIMO channels; OFDM; PAM; QAM; channel coefficients; data-aided iterative algorithm; emitter identification; inter symbol interference; multiple-input multiple-output channels; nonlinear transmit symbols; nonlinearity estimation; orthogonal frequency division multiplexing; specific emitter identification; wireless device identification; wireless emitters; Iterative algorithms; MIMO; Nonlinear systems; OFDM; Object recognition; Pulse shaping methods; Radio frequency; Radiofrequency identification; Space vector pulse width modulation; Transmitting antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Sciences and Systems, 2009. CISS 2009. 43rd Annual Conference on
Conference_Location
Baltimore, MD
Print_ISBN
978-1-4244-2733-8
Electronic_ISBN
978-1-4244-2734-5
Type
conf
DOI
10.1109/CISS.2009.5054783
Filename
5054783
Link To Document