Sensor-assisted localization in cellular systems

Liang Xiao; Larry J. Greenstein; Narayan B. Mandayam

doi:10.1109/TWC.2007.060316

Sensor-assisted localization in cellular systems

Liang Xiao, Larry J. Greenstein, Narayan B. Mandayam

School of Engineering, Electrical & Computer Engineering

Research output: Contribution to journal › Article › peer-review

37 Scopus citations

Abstract

We investigate the use of an auxiliary network of sensors to locate mobiles in a cellular system, based on the received signal strength at the sensor receivers from a mobile's transmission. The investigation uses a generic path loss model incorporating distance effects and spatially correlated shadow fading. We describe four simple localization schemes and show that they all meet E-911 requirements in most environments. Performance can be further improved by implementing the MMSE algorithm, which ideally reaches the Cramer-Rao Bound. We compare the MMSE algorithm and the four simple schemes when the model parameters are estimated via inter-sensor measurements.

Original language	English (US)
Pages (from-to)	4244-4248
Number of pages	5
Journal	IEEE Transactions on Wireless Communications
Volume	6
Issue number	12
DOIs	https://doi.org/10.1109/TWC.2007.060316
State	Published - Dec 2007

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Keywords

Cellular systems
Localization
Mobile terminals
Path-loss models
Sensor networks

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10.1109/TWC.2007.060316

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title = "Sensor-assisted localization in cellular systems",

abstract = "We investigate the use of an auxiliary network of sensors to locate mobiles in a cellular system, based on the received signal strength at the sensor receivers from a mobile's transmission. The investigation uses a generic path loss model incorporating distance effects and spatially correlated shadow fading. We describe four simple localization schemes and show that they all meet E-911 requirements in most environments. Performance can be further improved by implementing the MMSE algorithm, which ideally reaches the Cramer-Rao Bound. We compare the MMSE algorithm and the four simple schemes when the model parameters are estimated via inter-sensor measurements.",

keywords = "Cellular systems, Localization, Mobile terminals, Path-loss models, Sensor networks",

author = "Liang Xiao and Greenstein, {Larry J.} and Mandayam, {Narayan B.}",

note = "Funding Information: Manuscript received June 1, 2006; accepted February 22, 2007. The associate editor coordinating the review of this letter and approving it for publication was X. Zhang. This work was supported in part by a grant from Nortel.",

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language = "English (US)",

volume = "6",

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journal = "IEEE Transactions on Wireless Communications",

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T1 - Sensor-assisted localization in cellular systems

AU - Xiao, Liang

AU - Greenstein, Larry J.

AU - Mandayam, Narayan B.

N1 - Funding Information: Manuscript received June 1, 2006; accepted February 22, 2007. The associate editor coordinating the review of this letter and approving it for publication was X. Zhang. This work was supported in part by a grant from Nortel.

PY - 2007/12

Y1 - 2007/12

N2 - We investigate the use of an auxiliary network of sensors to locate mobiles in a cellular system, based on the received signal strength at the sensor receivers from a mobile's transmission. The investigation uses a generic path loss model incorporating distance effects and spatially correlated shadow fading. We describe four simple localization schemes and show that they all meet E-911 requirements in most environments. Performance can be further improved by implementing the MMSE algorithm, which ideally reaches the Cramer-Rao Bound. We compare the MMSE algorithm and the four simple schemes when the model parameters are estimated via inter-sensor measurements.

AB - We investigate the use of an auxiliary network of sensors to locate mobiles in a cellular system, based on the received signal strength at the sensor receivers from a mobile's transmission. The investigation uses a generic path loss model incorporating distance effects and spatially correlated shadow fading. We describe four simple localization schemes and show that they all meet E-911 requirements in most environments. Performance can be further improved by implementing the MMSE algorithm, which ideally reaches the Cramer-Rao Bound. We compare the MMSE algorithm and the four simple schemes when the model parameters are estimated via inter-sensor measurements.

KW - Cellular systems

KW - Localization

KW - Mobile terminals

KW - Path-loss models

KW - Sensor networks

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Sensor-assisted localization in cellular systems

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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