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Tracking with Range-Only Measurements Using a Network of Wireless Sensors

Tracking with Range-Only Measurements Using a Network of Wireless Sensors
Tracking with Range-Only Measurements Using a Network of Wireless Sensors
In this paper we propose a tracking system for wireless sensor networks, which operates on accumulated ranging data from a number of anchor sensor nodes in order to infer the trace and other kinematic characteristics of a mobile target. The nonlinear nature of the “tracking with range-only measurements” problem yields significant challenges. In the proposed system, this problem is modeled as a discrete-time state estimation problem. To achieve tracking of manoeuvring targets, adaptive estimation algorithms and a multi-modal approach to describe the development of the target’s state in time are utilized. To solve the estimation problem we employ a Particle Filter based algorithm. We present simulation results, which demonstrate the ability of the proposed system not only to effectively track manoeuvring targets but also to perform accurately under noisy conditions.
Mazomenos, E.B.
23983827-c7e7-4ee1-bfc8-986aa3594279
Reeve, J.S.
dd909010-7d44-44ea-83fe-a09e4d492618
White, N.M.
c7be4c26-e419-4e5c-9420-09fc02e2ac9c
Mazomenos, E.B.
23983827-c7e7-4ee1-bfc8-986aa3594279
Reeve, J.S.
dd909010-7d44-44ea-83fe-a09e4d492618
White, N.M.
c7be4c26-e419-4e5c-9420-09fc02e2ac9c

Mazomenos, E.B., Reeve, J.S. and White, N.M. (2009) Tracking with Range-Only Measurements Using a Network of Wireless Sensors. Sixth International Conference on Broadband Communications Networks and Systems (Broadnets 2009), Madrid, Spain. 14 - 17 Sep 2009.

Record type: Conference or Workshop Item (Other)

Abstract

In this paper we propose a tracking system for wireless sensor networks, which operates on accumulated ranging data from a number of anchor sensor nodes in order to infer the trace and other kinematic characteristics of a mobile target. The nonlinear nature of the “tracking with range-only measurements” problem yields significant challenges. In the proposed system, this problem is modeled as a discrete-time state estimation problem. To achieve tracking of manoeuvring targets, adaptive estimation algorithms and a multi-modal approach to describe the development of the target’s state in time are utilized. To solve the estimation problem we employ a Particle Filter based algorithm. We present simulation results, which demonstrate the ability of the proposed system not only to effectively track manoeuvring targets but also to perform accurately under noisy conditions.

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More information

Published date: 14 September 2009
Additional Information: Event Dates: 14-17 September
Venue - Dates: Sixth International Conference on Broadband Communications Networks and Systems (Broadnets 2009), Madrid, Spain, 2009-09-14 - 2009-09-17
Organisations: EEE

Identifiers

Local EPrints ID: 267840
URI: http://eprints.soton.ac.uk/id/eprint/267840
PURE UUID: 5f809093-76aa-45e0-817c-c41ce3567e3b
ORCID for N.M. White: ORCID iD orcid.org/0000-0003-1532-6452

Catalogue record

Date deposited: 08 Sep 2009 10:29
Last modified: 15 Mar 2024 02:41

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Contributors

Author: E.B. Mazomenos
Author: J.S. Reeve
Author: N.M. White ORCID iD

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