Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)

A Points Imaging Passive Localization Algorithm for Bistatic Stations in the Parallel Track and Squint Mode

Authors
Longjian Zhou, Jingqing Luo, Shilong Wu
Corresponding Author
Longjian Zhou
Available Online March 2017.
DOI
10.2991/amcce-17.2017.164How to use a DOI?
Keywords
Passive Localization; Time Difference of Arrival; Frequency Difference of Arrival; Direct Position Determination; Synthetic Aperature Radar
Abstract

For passive localization of wideband signal sources, a points imaging passive localization algorithm is proposed with the information of time difference of arrival(TDOA) and frequency difference of arrival(FDOA). This method uses the principle of Synthetic Aperature Radar(SAR) imaging and the idea of direct position determination(DPD) for reference. The observing time is divided into fast time and slow time in sampling. On the basic of analyzing range difference of arrival(RDOA) walking in the parallel track and squint mode, the RDOA walking is corrected in fast time, and the FDOA spatial variation is compressed. Then joint TDOA and FDOA are estimated and mapped to the position of target. The results of simulation prove the effectiveness of the proposed algorithm. The proposed algorithm is especially applicable for the observing unresolved multiple targets localization with properties of high precision and super resolution.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/amcce-17.2017.164
ISSN
2352-5401
DOI
10.2991/amcce-17.2017.164How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Longjian Zhou
AU  - Jingqing Luo
AU  - Shilong Wu
PY  - 2017/03
DA  - 2017/03
TI  - A Points Imaging Passive Localization Algorithm for Bistatic Stations in the Parallel Track and Squint Mode
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
PB  - Atlantis Press
SP  - 925
EP  - 934
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-17.2017.164
DO  - 10.2991/amcce-17.2017.164
ID  - Zhou2017/03
ER  -