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