Direct maximum likelihood localization for FBMC modulated signals

Tien You Koong; Peter J. Voltz

doi:10.1109/LISAT.2012.6223203

Direct maximum likelihood localization for FBMC modulated signals

Tien You Koong, Peter J. Voltz

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Filterbank Multicarrier (FBMC) modulation is a potential candidate for cognitive radio (CR) wireless networks due to its high spectrum efficiency and low interference among neighboring bands. Within the CR network it is important that the base station (BS) can localize the mobile station (MS) to better distribute radio resources. While most research has focused on interference within the FBMC network, We present a novel technique based on direct maximum likelihood (ML) position estimation which uses previously measured channel statistics to estimate MS locations by combining received signals from several BS. Our previous work has shown that this kind of direct ML estimation method outperforms conventional methods based on TOA estimation in Orthogonal Frequency Division Multiplexing (OFDM) systems. Here we demonstrate how this technique can be adapted to the FBMC system.

Original language	English (US)
Title of host publication	2012 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2012
DOIs	https://doi.org/10.1109/LISAT.2012.6223203
State	Published - 2012
Event	2012 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2012 - Farrmingdale, NY, United States Duration: May 4 2012 → May 4 2012

Publication series

Name	2012 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2012

Other

Other	2012 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2012
Country/Territory	United States
City	Farrmingdale, NY
Period	5/4/12 → 5/4/12

Keywords

FBMC
Localization

ASJC Scopus subject areas

Computer Networks and Communications
Control and Systems Engineering

Access to Document

10.1109/LISAT.2012.6223203

Cite this

Direct maximum likelihood localization for FBMC modulated signals. / Koong, Tien You; Voltz, Peter J.
2012 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2012. 2012. 6223203 (2012 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Koong, TY & Voltz, PJ 2012, Direct maximum likelihood localization for FBMC modulated signals. in 2012 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2012., 6223203, 2012 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2012, 2012 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2012, Farrmingdale, NY, United States, 5/4/12. https://doi.org/10.1109/LISAT.2012.6223203

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abstract = "Filterbank Multicarrier (FBMC) modulation is a potential candidate for cognitive radio (CR) wireless networks due to its high spectrum efficiency and low interference among neighboring bands. Within the CR network it is important that the base station (BS) can localize the mobile station (MS) to better distribute radio resources. While most research has focused on interference within the FBMC network, We present a novel technique based on direct maximum likelihood (ML) position estimation which uses previously measured channel statistics to estimate MS locations by combining received signals from several BS. Our previous work has shown that this kind of direct ML estimation method outperforms conventional methods based on TOA estimation in Orthogonal Frequency Division Multiplexing (OFDM) systems. Here we demonstrate how this technique can be adapted to the FBMC system.",

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AU - Voltz, Peter J.

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AB - Filterbank Multicarrier (FBMC) modulation is a potential candidate for cognitive radio (CR) wireless networks due to its high spectrum efficiency and low interference among neighboring bands. Within the CR network it is important that the base station (BS) can localize the mobile station (MS) to better distribute radio resources. While most research has focused on interference within the FBMC network, We present a novel technique based on direct maximum likelihood (ML) position estimation which uses previously measured channel statistics to estimate MS locations by combining received signals from several BS. Our previous work has shown that this kind of direct ML estimation method outperforms conventional methods based on TOA estimation in Orthogonal Frequency Division Multiplexing (OFDM) systems. Here we demonstrate how this technique can be adapted to the FBMC system.

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KW - Localization

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Direct maximum likelihood localization for FBMC modulated signals

Abstract

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Other

Keywords

ASJC Scopus subject areas

Access to Document

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