A semidefinite programming approach for cooperative localization

Ning Wang; Liuqing Yang

doi:10.1109/ACSSC.2010.5757606

A semidefinite programming approach for cooperative localization

Ning Wang, Liuqing Yang

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

5 Scopus citations

Abstract

Semidefinite programming (SDP) approach has been widely used to convert nonconvex problems into convex ones in recent years. In this paper, we apply the SDP approach to cooperative localization where the inter-target communication capability is exploited for the purpose of coverage extension and accuracy enhancement. Cooperative Time-of-Arrival (ToA) minimax SDP and Received Signal Strength (RSS) minimax SDP algorithms are proposed. Simulations show that the cooperative localization with SDP can achieve satisfying performance with considerably reduced complexity. In addition, we propose a virtual anchor concept to further improve the localization accuracy, especially in the outside-of-the-convex-hull situations.

Original language	English (US)
Title of host publication	Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
Pages	487-491
Number of pages	5
DOIs	https://doi.org/10.1109/ACSSC.2010.5757606
State	Published - 2010
Externally published	Yes
Event	44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010 - Pacific Grove, CA, United States Duration: Nov 7 2010 → Nov 10 2010

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)	1058-6393

Other

Other	44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
Country/Territory	United States
City	Pacific Grove, CA
Period	11/7/10 → 11/10/10

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10.1109/ACSSC.2010.5757606

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A semidefinite programming approach for cooperative localization. / Wang, Ning; Yang, Liuqing.
Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010. 2010. p. 487-491 5757606 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

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

Wang, N & Yang, L 2010, A semidefinite programming approach for cooperative localization. in Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010., 5757606, Conference Record - Asilomar Conference on Signals, Systems and Computers, pp. 487-491, 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010, Pacific Grove, CA, United States, 11/7/10. https://doi.org/10.1109/ACSSC.2010.5757606

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AB - Semidefinite programming (SDP) approach has been widely used to convert nonconvex problems into convex ones in recent years. In this paper, we apply the SDP approach to cooperative localization where the inter-target communication capability is exploited for the purpose of coverage extension and accuracy enhancement. Cooperative Time-of-Arrival (ToA) minimax SDP and Received Signal Strength (RSS) minimax SDP algorithms are proposed. Simulations show that the cooperative localization with SDP can achieve satisfying performance with considerably reduced complexity. In addition, we propose a virtual anchor concept to further improve the localization accuracy, especially in the outside-of-the-convex-hull situations.

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BT - Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010

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ER -

A semidefinite programming approach for cooperative localization

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