Neural network approach towards multiradar track fusion

M. Mohandes; R. E. Bogner; A. Bouzerdoum; K. J. Pope

doi:10.1109/ICNN.1996.549142

Neural network approach towards multiradar track fusion

M. Mohandes, R. E. Bogner, A. Bouzerdoum, K. J. Pope

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The Jindalee Operational Over-The-Horizon Radar Network has three radar stations which overlap in their coverage. Consequently, targets may be detected by more than one radar. Multiple tracks from one target present a large operator workload, especially at where regions overlap. This paper introduces a method to automate the track association process. Multilayer perceptron and statistical decision systems are used to classify tracks into associated and non-associated pairs.

Original language	English
Title of host publication	Proceedings of International Conference on Neural Networks (ICNN'96)
Place of Publication	Washington, DC
Pages	1616-1621
Number of pages	6
DOIs	https://doi.org/10.1109/ICNN.1996.549142
Publication status	Published - Jun 1996
Externally published	Yes
Event	Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4) - Washington, DC, USA Duration: 3 Jun 1996 → 6 Jun 1996

Conference

Conference	Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4)
City	Washington, DC, USA
Period	3/06/96 → 6/06/96

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10.1109/ICNN.1996.549142Licence: In Copyright

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@inproceedings{96ad4f9f602f47ecbd3bf87c8cbf73ae,

title = "Neural network approach towards multiradar track fusion",

abstract = "The Jindalee Operational Over-The-Horizon Radar Network has three radar stations which overlap in their coverage. Consequently, targets may be detected by more than one radar. Multiple tracks from one target present a large operator workload, especially at where regions overlap. This paper introduces a method to automate the track association process. Multilayer perceptron and statistical decision systems are used to classify tracks into associated and non-associated pairs.",

author = "M. Mohandes and Bogner, {R. E.} and A. Bouzerdoum and Pope, {K. J.}",

year = "1996",

month = jun,

doi = "10.1109/ICNN.1996.549142",

language = "English",

isbn = "0-7803-3210-5",

pages = "1616--1621",

booktitle = "Proceedings of International Conference on Neural Networks (ICNN'96)",

note = "Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4) ; Conference date: 03-06-1996 Through 06-06-1996",

}

Mohandes, M, Bogner, RE, Bouzerdoum, A & Pope, KJ 1996, Neural network approach towards multiradar track fusion. in Proceedings of International Conference on Neural Networks (ICNN'96). Washington, DC, pp. 1616-1621, Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4), Washington, DC, USA, 3/06/96. https://doi.org/10.1109/ICNN.1996.549142

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AU - Bogner, R. E.

AU - Bouzerdoum, A.

AU - Pope, K. J.

PY - 1996/6

Y1 - 1996/6

N2 - The Jindalee Operational Over-The-Horizon Radar Network has three radar stations which overlap in their coverage. Consequently, targets may be detected by more than one radar. Multiple tracks from one target present a large operator workload, especially at where regions overlap. This paper introduces a method to automate the track association process. Multilayer perceptron and statistical decision systems are used to classify tracks into associated and non-associated pairs.

AB - The Jindalee Operational Over-The-Horizon Radar Network has three radar stations which overlap in their coverage. Consequently, targets may be detected by more than one radar. Multiple tracks from one target present a large operator workload, especially at where regions overlap. This paper introduces a method to automate the track association process. Multilayer perceptron and statistical decision systems are used to classify tracks into associated and non-associated pairs.

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U2 - 10.1109/ICNN.1996.549142

DO - 10.1109/ICNN.1996.549142

M3 - Conference contribution

AN - SCOPUS:0029728462

SN - 0-7803-3210-5

SP - 1616

EP - 1621

BT - Proceedings of International Conference on Neural Networks (ICNN'96)

CY - Washington, DC

T2 - Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4)

Y2 - 3 June 1996 through 6 June 1996

ER -

Neural network approach towards multiradar track fusion

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