Adaptive acoustic localization algorithm for sensor networks

Gergely Vakulya, Gyula Simon

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

2 Citations (Scopus)

Abstract

Sensor networks have proved their usefulness in various acoustic localization applications. Recently a consistency function-based algorithm was proposed, which can provide accurate solution even if a large number of independent outliers are present in the measurement set. In certain practical cases, however, sensors may have cooperative and consistent errors, resulting in bad estimations. In this paper an adaptive consistency function-based solution is proposed, which can compensate for cooperative and systematic measurement errors and thus provides accurate results even if the original consistency function-based algorithm fails.

Original languageEnglish
Title of host publication2010 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2010 - Proceedings
Pages407-411
Number of pages5
DOIs
Publication statusPublished - Oct 18 2010
Event2010 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2010 - Austin, TX, United States
Duration: May 3 2010May 6 2010

Publication series

Name2010 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2010 - Proceedings

Other

Other2010 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2010
CountryUnited States
CityAustin, TX
Period5/3/105/6/10

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ASJC Scopus subject areas

  • Instrumentation

Cite this

Vakulya, G., & Simon, G. (2010). Adaptive acoustic localization algorithm for sensor networks. In 2010 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2010 - Proceedings (pp. 407-411). [5488236] (2010 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2010 - Proceedings). https://doi.org/10.1109/IMTC.2010.5488236