A novel passive location algorithm based on neural networks

Luo Zheng; Liu Donghua; Yu Fei

doi:10.1109/IAEAC.2015.7428734

A novel passive location algorithm based on neural networks

Luo Zheng
, Liu Donghua
, Yu Fei

Electronic System Engineering Company of China

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

1 Scopus citations

Abstract

A novel short-wave passive location algorithm based on radial basis function neural networks (RBFNN) is proposed. Using the RBFNN's characteristic of approximating any continuous nonlinear function, the fusion of electromagnetic spectrum sensing data is realized by sample learning. And the mapping model of short-wave monitoring data, detecting data and targets' position information is constructed. Moreover, the effect of error and ionosphere disturbance on the accuracy of location accuracy can be relieved by using the generalization and robustness of RBFNN. A large number of measured data verify the scientificity and the accuracy of the proposed algorithm.

Original language	English
Title of host publication	Proceedings of 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2015
Editors	Bing Xu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1124-1127
Number of pages	4
ISBN (Electronic)	9781479919796
DOIs	https://doi.org/10.1109/IAEAC.2015.7428734
State	Published - 7 Mar 2016
Externally published	Yes
Event	IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2015 - Chongqing, China Duration: 19 Dec 2015 → 20 Dec 2015

Publication series

Name	Proceedings of 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2015

Conference

Conference	IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2015
Country/Territory	China
City	Chongqing
Period	19/12/15 → 20/12/15

Keywords

Reflection height
radial basis function neural networks
single station location
two-dimensional direction of arrival

Access to Document

10.1109/IAEAC.2015.7428734

Cite this

Zheng, L., Donghua, L., & Fei, Y. (2016). A novel passive location algorithm based on neural networks. In B. Xu (Ed.), Proceedings of 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2015 (pp. 1124-1127). Article 7428734 (Proceedings of 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAEAC.2015.7428734

Zheng, Luo ; Donghua, Liu ; Fei, Yu. / A novel passive location algorithm based on neural networks. Proceedings of 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2015. editor / Bing Xu. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1124-1127 (Proceedings of 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2015).

@inproceedings{53c56f976b8a46dcb1b96577dba2a3d4,

title = "A novel passive location algorithm based on neural networks",

abstract = "A novel short-wave passive location algorithm based on radial basis function neural networks (RBFNN) is proposed. Using the RBFNN's characteristic of approximating any continuous nonlinear function, the fusion of electromagnetic spectrum sensing data is realized by sample learning. And the mapping model of short-wave monitoring data, detecting data and targets' position information is constructed. Moreover, the effect of error and ionosphere disturbance on the accuracy of location accuracy can be relieved by using the generalization and robustness of RBFNN. A large number of measured data verify the scientificity and the accuracy of the proposed algorithm.",

keywords = "Reflection height, radial basis function neural networks, single station location, two-dimensional direction of arrival",

author = "Luo Zheng and Liu Donghua and Yu Fei",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2015 ; Conference date: 19-12-2015 Through 20-12-2015",

year = "2016",

month = mar,

day = "7",

doi = "10.1109/IAEAC.2015.7428734",

language = "英语",

series = "Proceedings of 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1124--1127",

editor = "Bing Xu",

booktitle = "Proceedings of 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2015",

address = "美国",

}

Zheng, L, Donghua, L & Fei, Y 2016, A novel passive location algorithm based on neural networks. in B Xu (ed.), Proceedings of 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2015., 7428734, Proceedings of 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 1124-1127, IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2015, Chongqing, China, 19/12/15. https://doi.org/10.1109/IAEAC.2015.7428734

A novel passive location algorithm based on neural networks. / Zheng, Luo; Donghua, Liu; Fei, Yu.
Proceedings of 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2015. ed. / Bing Xu. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1124-1127 7428734 (Proceedings of 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2015).

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

TY - GEN

T1 - A novel passive location algorithm based on neural networks

AU - Zheng, Luo

AU - Donghua, Liu

AU - Fei, Yu

PY - 2016/3/7

Y1 - 2016/3/7

N2 - A novel short-wave passive location algorithm based on radial basis function neural networks (RBFNN) is proposed. Using the RBFNN's characteristic of approximating any continuous nonlinear function, the fusion of electromagnetic spectrum sensing data is realized by sample learning. And the mapping model of short-wave monitoring data, detecting data and targets' position information is constructed. Moreover, the effect of error and ionosphere disturbance on the accuracy of location accuracy can be relieved by using the generalization and robustness of RBFNN. A large number of measured data verify the scientificity and the accuracy of the proposed algorithm.

AB - A novel short-wave passive location algorithm based on radial basis function neural networks (RBFNN) is proposed. Using the RBFNN's characteristic of approximating any continuous nonlinear function, the fusion of electromagnetic spectrum sensing data is realized by sample learning. And the mapping model of short-wave monitoring data, detecting data and targets' position information is constructed. Moreover, the effect of error and ionosphere disturbance on the accuracy of location accuracy can be relieved by using the generalization and robustness of RBFNN. A large number of measured data verify the scientificity and the accuracy of the proposed algorithm.

KW - Reflection height

KW - radial basis function neural networks

KW - single station location

KW - two-dimensional direction of arrival

UR - https://www.scopus.com/pages/publications/84966429437

U2 - 10.1109/IAEAC.2015.7428734

DO - 10.1109/IAEAC.2015.7428734

M3 - 会议稿件

AN - SCOPUS:84966429437

T3 - Proceedings of 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2015

SP - 1124

EP - 1127

BT - Proceedings of 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2015

A2 - Xu, Bing

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2015

Y2 - 19 December 2015 through 20 December 2015

ER -

Zheng L, Donghua L, Fei Y. A novel passive location algorithm based on neural networks. In Xu B, editor, Proceedings of 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1124-1127. 7428734. (Proceedings of 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2015). doi: 10.1109/IAEAC.2015.7428734

A novel passive location algorithm based on neural networks

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