- Author
- Otnes, Roald Wilhelm
- Zetterberg, Per
- Blouin, Stephane
- Nordenvaad, Magnus Lundberg
- Austad, Håvard
- Dombestein, Elin Margrethe Bøhler
- Date Issued
- 2019
- Keywords
- Undervannssensorer
- Nettverk
- Undervannssensornoder
- Canada
- Norge
- Sverige
- Permalink
- http://hdl.handle.net/20.500.12242/2925
- Collection
- Articles
- Description
- Otnes, Roald Wilhelm; Zetterberg, Per; Blouin, Stephane; Nordenvaad, Magnus Lundberg; Austad, Håvard; Dombestein, Elin Margrethe Bøhler. Distributed fusion in underwater sensor networks: Fusing bearing information. Underwater Acoustics Conference & Exhibition (UACE) 2019 s. 809-816
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- 1758532.pdf
- Size: 997k
- Abstract
- In underwater sensor networks, distributed data fusion may be more efficient than centralized fusion because the limited data transmission capacity can make it difficult to collect all required sensor information at a centralized fusion centre. In this paper, we investigate three distributed fusion techniques applied to a network of passive acoustic underwater sensor nodes. We focus on the process of having a node combining its own bearing-to-target information with bearing-to-target information received from another node. In one of the techniques, we approximate the uncertainty in crossfixes in Cartesian coordinates by a Gaussian distribution with their second-order statistics derived from an exact distribution. The bearings and covariance matrixes are fed into a Kalman filter for tracking. The other methods are a particle filter using an exact distribution, and a distributed particle filter using an approximate likelihood representation. The performance of the methods is investigated on simulated data as well as on real-world data collected by seafloor sensor nodes during a Stockholm Archipelago sea trial in the trilateral collaborative project DUSN (Distributed Underwater Sensor Networks) between Canada, Norway, and Sweden.