SODA

Localization using directional antennas and recursive estimation

Nilsson, Martin (2008) Localization using directional antennas and recursive estimation. In: 5th IEEE Workshop on Positioning, Navigation and Communication 2008, 27 March 2008, Hannover, Germany.

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Abstract

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.

Item Type:Conference or Workshop Item (Paper)
Additional Information:pp. 213-217.
Uncontrolled Keywords:Localization, wireless sensor network, directional antenna, recursive estimation, Kalman filter
ID Code:3439
Deposited By:IAM Researcher
Deposited On:17 Oct 2008
Last Modified:18 Nov 2009 16:22

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