@inproceedings{de06092b99954a9d87204c424f9a8cf2,
title = "SISAR imaging method based on GNSS signal: Theory and experimental results",
abstract = "Shadow inverse synthetic aperture radar (SISAR) imaging technology is the basis for target recognition in forward scatter radar (FSR). The novel FSR system, which uses Global Navigation Satellite System (GNSS) satellites as transmitters and arranges receivers on the ground, has the ability to achieve target detection in a wide range. This paper proposes a novel SISAR imaging algorithm based on the GNSS signal and gives the relationship between the transform of GNSS-FSR echo signal and target's complex profile function (CPF) under small diffraction angles. The effectiveness of the proposed SISAR imaging algorithm is firstly verified by applying SISAR imaging processing to the experimental data which is obtained by using civil airliners as targets and BD satellite as the illuminator at the first time.",
keywords = "Forward scatter radar, GNSS, Passive radar, SISAR imaging",
author = "Cheng Hu and Li Wang and Changjiang Liu",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 CIE International Conference on Radar, RADAR 2016 ; Conference date: 10-10-2016 Through 13-10-2016",
year = "2017",
month = oct,
day = "4",
doi = "10.1109/RADAR.2016.8059223",
language = "English",
series = "2016 CIE International Conference on Radar, RADAR 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 CIE International Conference on Radar, RADAR 2016",
address = "United States",
}