Optimal sensing rate for estimation over shared communication links

Sachin Adlakha; Bruno Sinopoli; Andrea Goldsmith

doi:10.1109/ACC.2007.4282599

Optimal sensing rate for estimation over shared communication links

Sachin Adlakha, Bruno Sinopoli, Andrea Goldsmith

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

5 Scopus citations

Abstract

In this paper we consider the problem of finding the optimal sensing rate for estimating an event over shared communication links. Since the communication link is shared between several systems sending their observations, not all observations can be sent to their respective estimators. To improve the performance of the estimator, we propose to oversample the event. In particular, we derive the minimum oversampling rate such that the maximum error covariance of the estimate is kept below the desired threshold. We derive a closed form equation for this minimum sampling rate that can be used in designing estimation techniques for systems with bandwidth constraints.

Original language	English (US)
Title of host publication	Proceedings of the 2007 American Control Conference, ACC
Pages	5043-5045
Number of pages	3
DOIs	https://doi.org/10.1109/ACC.2007.4282599
State	Published - 2007
Externally published	Yes
Event	2007 American Control Conference, ACC - New York, NY, United States Duration: Jul 9 2007 → Jul 13 2007

Publication series

Name	Proceedings of the American Control Conference
ISSN (Print)	0743-1619

Conference

Conference	2007 American Control Conference, ACC
Country	United States
City	New York, NY
Period	7/9/07 → 7/13/07

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.1109/ACC.2007.4282599

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title = "Optimal sensing rate for estimation over shared communication links",

abstract = "In this paper we consider the problem of finding the optimal sensing rate for estimating an event over shared communication links. Since the communication link is shared between several systems sending their observations, not all observations can be sent to their respective estimators. To improve the performance of the estimator, we propose to oversample the event. In particular, we derive the minimum oversampling rate such that the maximum error covariance of the estimate is kept below the desired threshold. We derive a closed form equation for this minimum sampling rate that can be used in designing estimation techniques for systems with bandwidth constraints.",

author = "Sachin Adlakha and Bruno Sinopoli and Andrea Goldsmith",

year = "2007",

doi = "10.1109/ACC.2007.4282599",

language = "English (US)",

isbn = "1424409888",

series = "Proceedings of the American Control Conference",

pages = "5043--5045",

booktitle = "Proceedings of the 2007 American Control Conference, ACC",

note = "2007 American Control Conference, ACC ; Conference date: 09-07-2007 Through 13-07-2007",

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T1 - Optimal sensing rate for estimation over shared communication links

AU - Adlakha, Sachin

AU - Sinopoli, Bruno

AU - Goldsmith, Andrea

PY - 2007

Y1 - 2007

N2 - In this paper we consider the problem of finding the optimal sensing rate for estimating an event over shared communication links. Since the communication link is shared between several systems sending their observations, not all observations can be sent to their respective estimators. To improve the performance of the estimator, we propose to oversample the event. In particular, we derive the minimum oversampling rate such that the maximum error covariance of the estimate is kept below the desired threshold. We derive a closed form equation for this minimum sampling rate that can be used in designing estimation techniques for systems with bandwidth constraints.

AB - In this paper we consider the problem of finding the optimal sensing rate for estimating an event over shared communication links. Since the communication link is shared between several systems sending their observations, not all observations can be sent to their respective estimators. To improve the performance of the estimator, we propose to oversample the event. In particular, we derive the minimum oversampling rate such that the maximum error covariance of the estimate is kept below the desired threshold. We derive a closed form equation for this minimum sampling rate that can be used in designing estimation techniques for systems with bandwidth constraints.

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U2 - 10.1109/ACC.2007.4282599

DO - 10.1109/ACC.2007.4282599

M3 - Conference contribution

AN - SCOPUS:46449117753

SN - 1424409888

SN - 9781424409884

T3 - Proceedings of the American Control Conference

SP - 5043

EP - 5045

BT - Proceedings of the 2007 American Control Conference, ACC

T2 - 2007 American Control Conference, ACC

Y2 - 9 July 2007 through 13 July 2007

ER -

Optimal sensing rate for estimation over shared communication links

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

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