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Localization using directional antennas and recursive estimation
RISE, Swedish ICT, SICS, Computer Systems Laboratory.
2008 (English)Conference paper, (Refereed)
Abstract [en]

In wireless sensor networks, there is often a need for nodes to find their position. This process is referred to as localization. Many methods have been proposed for this purpose, but they typically suffer from one of two major problems: Either, they are inaccurate for noisy measurement data, or they require a considerable amount of computation. In this paper, we present a method based on recursive estimation of position from angle-of-arrival measurements by directional antennas. The method computes a new position estimate for every new measure ment, using a Kalman filter. Computation is fast and is performed entirely locally. No complex datastructure needs to be maintained. A prominent feature of the proposed method is that it applies only a linear Kalman filter.

Place, publisher, year, edition, pages
2008, 1. , 5 p.213-217 p.
Keyword [en]
Localization, wireless sensor network, directional antenna, recursive estimation, Kalman filter
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-22915OAI: oai:DiVA.org:ri-22915DiVA: diva2:1042480
Conference
5th IEEE Workshop on Positioning, Navigation and Communication 2008, 27 March 2008, Hannover, Germany
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2017-08-03Bibliographically approved

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  • apa
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Output format
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