A complex-valued semidefinite relaxation approach for two-dimensional source localization using distance measurements and imperfect receiver positions

Xiao Fu, Frankie K.W. Chan, Wing Kin Ma, H. C. So

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

5 Scopus citations

Abstract

Source localization is a fundamental task in many areas such as wireless sensor networks, telecommunications and mobile communications. This is commonly achieved with the use of distance measurements between the source and receivers, and they are usually converted from the time-of-arrival or received signal strength information. Although numerous methods have been proposed for distance-based source localization, most of them assume that the receiver positions are known exactly, which may not be valid in practice. In this paper, a complex-valued semidefinite relaxation (SDR) algorithm is devised for source localization in the presence of receiver position uncertainties. Reduction of the algorithm complexity is also considered. The estimation accuracy and computational attractiveness of the proposed SDR scheme are demonstrated via computer simulations.

Original languageEnglish (US)
Title of host publicationICSP 2012 - 2012 11th International Conference on Signal Processing, Proceedings
Pages1491-1494
Number of pages4
DOIs
StatePublished - Dec 1 2012
Event2012 11th International Conference on Signal Processing, ICSP 2012 - Beijing, China
Duration: Oct 21 2012Oct 25 2012

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP
Volume2

Other

Other2012 11th International Conference on Signal Processing, ICSP 2012
CountryChina
CityBeijing
Period10/21/1210/25/12

Keywords

  • semidefinite relaxation
  • source localization

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