Information theoretic bounds on mobile source localization in a dense urban environment

I. Bilik; K. Adhikari; J. R. Buck

doi:10.1109/SAM.2010.5606708

Information theoretic bounds on mobile source localization in a dense urban environment

I. Bilik, K. Adhikari, J. R. Buck

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

3 Scopus citations

Abstract

The FCC E-911 Phase-2 requirements have motivated increased interest in the challenge of localizing mobile sources in a dense urban environment. E-911 Phase-2 requires wireless carriers to provide the location of a 911 caller with accuracy of 100 meters in 67% of cases and 300 meters in 95% of cases. This paper proposes information theoretic bounds on source localization performance in a dense urban environment based on the distribution of received energy as a function of time and angle of arrival from the multipath propagation. The surveillance area is discretized into a grid of partitions where the partition size can be interpreted as a source localization accuracy. The proposed lower bound provides a limit on the achievable source localization accuracy for a given SNR. The bound is evaluated for several urban propagation scenarios.

Original language	English
Title of host publication	2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010
Pages	109-112
Number of pages	4
DOIs	https://doi.org/10.1109/SAM.2010.5606708
State	Published - 20 Dec 2010
Externally published	Yes
Event	2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010 - Jerusalem, Israel Duration: 4 Oct 2010 → 7 Oct 2010

Publication series

Name	2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010

Conference

Conference	2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010
Country/Territory	Israel
City	Jerusalem
Period	4/10/10 → 7/10/10

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/SAM.2010.5606708

Cite this

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title = "Information theoretic bounds on mobile source localization in a dense urban environment",

abstract = "The FCC E-911 Phase-2 requirements have motivated increased interest in the challenge of localizing mobile sources in a dense urban environment. E-911 Phase-2 requires wireless carriers to provide the location of a 911 caller with accuracy of 100 meters in 67\% of cases and 300 meters in 95\% of cases. This paper proposes information theoretic bounds on source localization performance in a dense urban environment based on the distribution of received energy as a function of time and angle of arrival from the multipath propagation. The surveillance area is discretized into a grid of partitions where the partition size can be interpreted as a source localization accuracy. The proposed lower bound provides a limit on the achievable source localization accuracy for a given SNR. The bound is evaluated for several urban propagation scenarios.",

author = "I. Bilik and K. Adhikari and Buck, \{J. R.\}",

year = "2010",

month = dec,

day = "20",

doi = "10.1109/SAM.2010.5606708",

language = "English",

isbn = "9781424489770",

series = "2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010",

pages = "109--112",

booktitle = "2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010",

note = "2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010 ; Conference date: 04-10-2010 Through 07-10-2010",

}

Bilik, I, Adhikari, K & Buck, JR 2010, Information theoretic bounds on mobile source localization in a dense urban environment. in 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010., 5606708, 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010, pp. 109-112, 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010, Jerusalem, Israel, 4/10/10. https://doi.org/10.1109/SAM.2010.5606708

Information theoretic bounds on mobile source localization in a dense urban environment. / Bilik, I.; Adhikari, K.; Buck, J. R.
2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010. 2010. p. 109-112 5606708 (2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010).

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

TY - GEN

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AU - Adhikari, K.

AU - Buck, J. R.

PY - 2010/12/20

Y1 - 2010/12/20

N2 - The FCC E-911 Phase-2 requirements have motivated increased interest in the challenge of localizing mobile sources in a dense urban environment. E-911 Phase-2 requires wireless carriers to provide the location of a 911 caller with accuracy of 100 meters in 67% of cases and 300 meters in 95% of cases. This paper proposes information theoretic bounds on source localization performance in a dense urban environment based on the distribution of received energy as a function of time and angle of arrival from the multipath propagation. The surveillance area is discretized into a grid of partitions where the partition size can be interpreted as a source localization accuracy. The proposed lower bound provides a limit on the achievable source localization accuracy for a given SNR. The bound is evaluated for several urban propagation scenarios.

AB - The FCC E-911 Phase-2 requirements have motivated increased interest in the challenge of localizing mobile sources in a dense urban environment. E-911 Phase-2 requires wireless carriers to provide the location of a 911 caller with accuracy of 100 meters in 67% of cases and 300 meters in 95% of cases. This paper proposes information theoretic bounds on source localization performance in a dense urban environment based on the distribution of received energy as a function of time and angle of arrival from the multipath propagation. The surveillance area is discretized into a grid of partitions where the partition size can be interpreted as a source localization accuracy. The proposed lower bound provides a limit on the achievable source localization accuracy for a given SNR. The bound is evaluated for several urban propagation scenarios.

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BT - 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010

T2 - 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010

Y2 - 4 October 2010 through 7 October 2010

ER -

Information theoretic bounds on mobile source localization in a dense urban environment

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