TY - GEN
T1 - An Adaptive Fake Permanent Scatterers Cancellation Algorithm Based on CLEAN Technique for GNSS-based InBSAR System
AU - Lv, Ruihong
AU - Liu, Feifeng
AU - Wang, Zhanze
AU - Wang, Chenghao
AU - Shang, Runze
AU - Yao, Di
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In global navigation satellite system (GNSS)-based bistatic synthetic aperture radar interferometry (InBSAR) system, direct signal can be received through the back lobe of the antenna, resulting in fake permanent scatterers (PSs) in SAR images. To solve the problem, an adaptive fake PSs cancellation algorithm based on CLEAN technique is proposed. Firstly, a fake PSs cancellation model based on the bistatic SAR configuration is proposed. Then, the parameters of the back-lobe signal can be estimated by minimizing the residual energy in the area. Finally, the fake PSs are eliminated. This method can remove the fake PSs in the image without losing information of the effective PSs in the scene. The raw data is used to prove the effectiveness of the proposed algorithm in GNSS-based InBSAR system.
AB - In global navigation satellite system (GNSS)-based bistatic synthetic aperture radar interferometry (InBSAR) system, direct signal can be received through the back lobe of the antenna, resulting in fake permanent scatterers (PSs) in SAR images. To solve the problem, an adaptive fake PSs cancellation algorithm based on CLEAN technique is proposed. Firstly, a fake PSs cancellation model based on the bistatic SAR configuration is proposed. Then, the parameters of the back-lobe signal can be estimated by minimizing the residual energy in the area. Finally, the fake PSs are eliminated. This method can remove the fake PSs in the image without losing information of the effective PSs in the scene. The raw data is used to prove the effectiveness of the proposed algorithm in GNSS-based InBSAR system.
KW - CLEAN
KW - GNSS-based InBSAR
KW - SAR image processing
KW - fake target cancellation
UR - http://www.scopus.com/inward/record.url?scp=85146416963&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC55723.2022.9984233
DO - 10.1109/ICSPCC55723.2022.9984233
M3 - Conference contribution
AN - SCOPUS:85146416963
T3 - 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022
BT - 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022
Y2 - 25 October 2022 through 27 October 2022
ER -