Underwater localization and tracking based on semi-definite programming

Dexin Wang, Liuqing Yang, Xiang Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

In underwater localization, buoyed anchors are preferable because of their low cost and the convenience to deploy, calibrate and reuse. However, this setup imposes extra difficulty to the localization of submerged targets since they are outside of the convex hull formed by the anchors. In this paper, we propose a semi-definite programming (SDP) based localization approach that is augmented by measurements obtained via onboard pressure sensors. Compared with the widely-adopted linearized least squares solution, simulations show our augmented SDP offers improved accuracy for point localization and faster convergence for tracking, under the same system configuration and environmental conditions, especially at low signal to noise ratio (SNR).

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013 - Kunming, Yunnan, China
Duration: Aug 5 2013Aug 8 2013

Publication series

Name2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013

Other

Other2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013
CountryChina
CityKunming, Yunnan
Period8/5/138/8/13

Keywords

  • Buoyed anchors
  • Convex hull
  • Semi-definite programming
  • Underwater localization

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