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.
Original language | English |
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Title of host publication | 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 6887-6891 |
Number of pages | 5 |
ISBN (Electronic) | 978-1-5386-4658-8 |
ISBN (Print) | 978-1-5386-4659-5 |
DOIs | |
Publication status | Published - 2018 |
Event | 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018: Signal Processing and Artificial Intelligence: Changing the World - Calgary Telus Convention Center (CTCC), Calgary, Canada Duration: 15 Apr 2018 → 20 Apr 2018 https://2018.ieeeicassp.org |
Conference
Conference | 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 |
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Country/Territory | Canada |
City | Calgary |
Period | 15/04/18 → 20/04/18 |
Internet address |
Keywords
- Distributed algorithm
- Indoor localisation
- Pruning erroneous TOA measurements
- Time difference of arrival