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Deterministic Sensor Selection for Centralized State Estimation Under Limited Communication Resource
KTH, School of Electrical Engineering (EES).
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2015 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 63, no 9, 2336-2348 p.Article in journal (Refereed) Published
Abstract [en]

This paper studies a sensor selection problem. A group of sensors measure the state of a process and send their measurements to a remote estimator. Due to communication constraints, only limited sensors are allowed to communicate with the estimator. The paper intends to answer which sensors should be chosen such that the estimation performance of the estimator is optimized. Both reliable and packet-dropping channels are considered. It is required to minimize the steady-state estimation error covariance for reliable channels and to minimize the upper bound of the expected estimation error covariance for packet-dropping channels. For both scenarios, the original optimization problems are transformed to problems which can be solved by convex optimization techniques.

Place, publisher, year, edition, pages
2015. Vol. 63, no 9, 2336-2348 p.
Keyword [en]
Networked state estimation, sensor scheduling, sensor selection, convex optimization, modified algebraic Riccati equation (MARE)
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-166484DOI: 10.1109/TSP.2015.2412916ISI: 000352283900013Scopus ID: 2-s2.0-84927665861OAI: oai:DiVA.org:kth-166484DiVA: diva2:812534
Note

QC 20150519

Available from: 2015-05-19 Created: 2015-05-11 Last updated: 2017-12-04Bibliographically approved

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  • Other locale
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