Wireless device identification in MIMO channels

Ming Wei Liu, John F. Doherty

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

2 Citations (Scopus)

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.

Original languageEnglish (US)
Title of host publicationProceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009
Pages563-567
Number of pages5
DOIs
StatePublished - Oct 16 2009
Event43rd Annual Conference on Information Sciences and Systems, CISS 2009 - Baltimore, MD, United States
Duration: Mar 18 2009Mar 20 2009

Publication series

NameProceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009

Other

Other43rd Annual Conference on Information Sciences and Systems, CISS 2009
CountryUnited States
CityBaltimore, MD
Period3/18/093/20/09

Fingerprint

Orthogonal frequency division multiplexing
Pulse amplitude modulation
Control nonlinearities
Quadrature amplitude modulation
Identification (control systems)
Communication systems

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems

Cite this

Liu, M. W., & Doherty, J. F. (2009). Wireless device identification in MIMO channels. In Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009 (pp. 563-567). [5054783] (Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009). https://doi.org/10.1109/CISS.2009.5054783
Liu, Ming Wei ; Doherty, John F. / Wireless device identification in MIMO channels. Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009. 2009. pp. 563-567 (Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009).
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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.",
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Liu, MW & Doherty, JF 2009, Wireless device identification in MIMO channels. in Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009., 5054783, Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009, pp. 563-567, 43rd Annual Conference on Information Sciences and Systems, CISS 2009, Baltimore, MD, United States, 3/18/09. https://doi.org/10.1109/CISS.2009.5054783

Wireless device identification in MIMO channels. / Liu, Ming Wei; Doherty, John F.

Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009. 2009. p. 563-567 5054783 (Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009).

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

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T1 - Wireless device identification in MIMO channels

AU - Liu, Ming Wei

AU - Doherty, John F.

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N2 - 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.

AB - 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.

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BT - Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009

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Liu MW, Doherty JF. Wireless device identification in MIMO channels. In Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009. 2009. p. 563-567. 5054783. (Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009). https://doi.org/10.1109/CISS.2009.5054783