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APPLICATION ON SMOOTHING PARTICLE FILTER IN TRACKING A HIGHLY MANEUVERABLE TARGET IN A MULTIPLE-SENSORS NETWORK

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Last updated: 04 Jan 2025

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Abstract

ABSTRACT
In this paper we apply the smoothing particle filter to track a highly maneuverable target in a
multiple-sensors network. We address the scenario of a single highly-maneuverable target
moving through a field of stationary sensors with known locations. The target is tracked
through the sensors filed using either all sensors or active sensors within a gate around the
target. Results have been compared to tracking the same target using conventional particle
filter. Smoothing particle filter showed improvement in the performance.

DOI

10.21608/iceeng.2006.33688

Authors

First Name

Kamel

Last Name

H.

MiddleName

-

Affiliation

Ph.D. Candidate, Elec. & Comp. Eng. Department, University of Calgary, AB, Canada.

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Orcid

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First Name

Badawy

Last Name

W.

MiddleName

-

Affiliation

Associate Professor, Elec. & Comp. Eng. Department, University of Calgary, AB, Canada.

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Volume

5

Article Issue

5th International Conference on Electrical Engineering ICEENG 2006

Related Issue

5615

Issue Date

2006-05-01

Receive Date

2019-05-29

Publish Date

2006-05-01

Page Start

1

Page End

8

Print ISSN

2636-4433

Online ISSN

2636-4441

Article File

ICEENG_Volume 5_Issue 5th International Conference on Electrical Engineering ICEENG 2006_Pages 1-8.pdf

PDF . 260.4kB

Link

https://iceeng.journals.ekb.eg/article_33688.html

Detail API

https://iceeng.journals.ekb.eg/service?article_code=33688

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81

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Original Article

Type Code

833

Publication Type

Journal

Publication Title

The International Conference on Electrical Engineering

Publication Link

https://iceeng.journals.ekb.eg/

MainTitle

APPLICATION ON SMOOTHING PARTICLE FILTER IN TRACKING A HIGHLY MANEUVERABLE TARGET IN A MULTIPLE-SENSORS NETWORK

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Article

Created At

22 Jan 2023