Power efficient state estimation using multiple sensors

Alex S C Leong; Subhrakanti Dey; Jamie Scott Evans

doi:10.1109/ISITA.2008.4895539

Power efficient state estimation using multiple sensors

Alex S C Leong
, Subhrakanti Dey
, Jamie Scott Evans

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

Abstract

This paper considers state estimation of scalar linear systems using analog amplify and for warding with multiple sensors, under a multiple access communication scheme. Optimal state estimation can be achieved using a Kalman filter. We show that in many situations, the error covariance decays at a rate of 1/M when the number of sensors M is large. Optimal allocation of transmission powers subject to constraints on the error covariance or sum power is also considered.

Original language	English
Title of host publication	ISITA 2008 International Symposium on Information Theory and its Applications
Editors	Tomoharu Shibuya, Hiroshi Hasegawa
Place of Publication	New York NY USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	924 - 929
Number of pages	6
Volume	1-3
ISBN (Print)	9781424420681
DOIs	https://doi.org/10.1109/ISITA.2008.4895539
Publication status	Published - 2008
Externally published	Yes
Event	International Symposium on Information Theory and Its Applications 2008 - Auckland, New Zealand Duration: 7 Dec 2008 → 10 Dec 2008 https://ieeexplore.ieee.org/xpl/conhome/4816040/proceeding (Proceedings)

Conference

Conference	International Symposium on Information Theory and Its Applications 2008
Abbreviated title	ISITA 2008
Country/Territory	New Zealand
City	Auckland
Period	7/12/08 → 10/12/08
Internet address	https://ieeexplore.ieee.org/xpl/conhome/4816040/proceeding (Proceedings)

Access to Document

10.1109/ISITA.2008.4895539

Cite this

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title = "Power efficient state estimation using multiple sensors",

abstract = "This paper considers state estimation of scalar linear systems using analog amplify and for warding with multiple sensors, under a multiple access communication scheme. Optimal state estimation can be achieved using a Kalman filter. We show that in many situations, the error covariance decays at a rate of 1/M when the number of sensors M is large. Optimal allocation of transmission powers subject to constraints on the error covariance or sum power is also considered.",

author = "Leong, \{Alex S C\} and Subhrakanti Dey and Evans, \{Jamie Scott\}",

year = "2008",

doi = "10.1109/ISITA.2008.4895539",

language = "English",

isbn = "9781424420681",

volume = "1-3",

pages = "924 -- 929",

editor = "Tomoharu Shibuya and Hiroshi Hasegawa",

booktitle = "ISITA 2008 International Symposium on Information Theory and its Applications",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "International Symposium on Information Theory and Its Applications 2008, ISITA 2008 ; Conference date: 07-12-2008 Through 10-12-2008",

url = "https://ieeexplore.ieee.org/xpl/conhome/4816040/proceeding",

}

Leong, ASC, Dey, S & Evans, JS 2008, Power efficient state estimation using multiple sensors. in T Shibuya & H Hasegawa (eds), ISITA 2008 International Symposium on Information Theory and its Applications. vol. 1-3, IEEE, Institute of Electrical and Electronics Engineers, New York NY USA, pp. 924 - 929, International Symposium on Information Theory and Its Applications 2008, Auckland, New Zealand, 7/12/08. https://doi.org/10.1109/ISITA.2008.4895539

Power efficient state estimation using multiple sensors. / Leong, Alex S C; Dey, Subhrakanti; Evans, Jamie Scott.
ISITA 2008 International Symposium on Information Theory and its Applications. ed. / Tomoharu Shibuya; Hiroshi Hasegawa. Vol. 1-3 New York NY USA: IEEE, Institute of Electrical and Electronics Engineers, 2008. p. 924 - 929.

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

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AB - This paper considers state estimation of scalar linear systems using analog amplify and for warding with multiple sensors, under a multiple access communication scheme. Optimal state estimation can be achieved using a Kalman filter. We show that in many situations, the error covariance decays at a rate of 1/M when the number of sensors M is large. Optimal allocation of transmission powers subject to constraints on the error covariance or sum power is also considered.

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DO - 10.1109/ISITA.2008.4895539

M3 - Conference Paper

SN - 9781424420681

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BT - ISITA 2008 International Symposium on Information Theory and its Applications

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T2 - International Symposium on Information Theory and Its Applications 2008

Y2 - 7 December 2008 through 10 December 2008

ER -

Power efficient state estimation using multiple sensors

Abstract

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