Robust localization of moving object via fusion of TDOA and detection range measurements of acoustic sensors

Hyun Hak Shin, Chul Jin Cho, Hanseok Ko, Wooyoung Hong, Woojae Seong

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

Abstract

In this paper, an area based method to estimate the position of unidentified moving objects by fusion of heterogeneous sensor data collected from a distributed acoustic sensor network is proposed. The surveillance region considered is composed of a couple of transmitters and multiple binary sensors which are assumed to be located in lattice formation. Each binary sensor may only determine whether or not an object was detected and the time difference of arrival (TDOA) between transmitting signals and object reflected signals. The proposed method estimates the candidate regions in which the object may be located from these two types of data and progressively fuses the regions into a single common region. Then with this common candidate region, the position of the object is estimated by Maximum Likelihood Estimation (MLE). The relevant experimental results demonstrate that the performance and effectiveness of the proposed method are superior compared with the conventional approaches.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013
DOIs
Publication statusPublished - 2013
Event2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013 - Kunming, Yunnan, China
Duration: 2013 Aug 52013 Aug 8

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
Period13/8/513/8/8

Keywords

  • Binary sensor network
  • Monte Carlo simulation
  • Object localization

ASJC Scopus subject areas

  • Signal Processing

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