Distributed Tdoa-Based Indoor Source Localisation

Conference Paper (2018)
Author(s)

Wangyang Yu (TU Delft - Signal Processing Systems)

ND Gaubitch (Pindrop, London)

R. Heusdens (TU Delft - Signal Processing Systems)

Research Group
Signal Processing Systems
DOI related publication
https://doi.org/10.1109/ICASSP.2018.8462262
More Info
expand_more
Publication Year
2018
Language
English
Research Group
Signal Processing Systems
Pages (from-to)
6887-6891
ISBN (print)
978-1-5386-4659-5
ISBN (electronic)
978-1-5386-4658-8

Abstract

Indoor localisation is an important research topic with several possible applications. For example, knowing a user's location can be used as navigation aid in hospitals and malls, or for better targeted marketing. In this paper we consider the case where the environment of interest is equipped with several receivers (with known location) from which time-difference-of-arrival (TDOA) measurements are obtained and used to localise the source. We will present a distributed algorithm for localising the source. More specifically, we experimentally show that the distributed algorithm, which only uses time-of-arrival (TOA) measurements obtained from neighbouring receivers to calculate the TDOAs, performs as well as a centralised solution that has access to all TOA measurements in the network. In addition, we propose a method for discarding erroneous TOA measurements which considerably improves the performance in noisy and reverberant environments.

No files available

Metadata only record. There are no files for this record.