TY - GEN
T1 - Correction of wide-band interference signatures in real measured synthetic aperture radar data
AU - Tao, Mingliang
AU - Zhou, Feng
AU - Zhang, Zijing
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/11/10
Y1 - 2015/11/10
N2 - Radio frequency interference is a major issue for synthetic aperture radar (SAR) imaging. Especially with the presence of wide band interference (WBI), the signal to interference and noise ratio of the measurements are greatly degraded, and thus makes it difficult to obtain high quality SAR image. In this paper, we analyzed the WBI signatures in a real measured data, and addressed the WBI mitigation problem by using the Eigensubspace filtering on the instantaneous spectra. Experimental results of the real measured data show that the proposed scheme is effective for suppressing the interference signal and for obtaining high-quality image.
AB - Radio frequency interference is a major issue for synthetic aperture radar (SAR) imaging. Especially with the presence of wide band interference (WBI), the signal to interference and noise ratio of the measurements are greatly degraded, and thus makes it difficult to obtain high quality SAR image. In this paper, we analyzed the WBI signatures in a real measured data, and addressed the WBI mitigation problem by using the Eigensubspace filtering on the instantaneous spectra. Experimental results of the real measured data show that the proposed scheme is effective for suppressing the interference signal and for obtaining high-quality image.
KW - Eigensubspace filtering
KW - Synthetic aperture radar (SAR)
KW - wideband interference (WBI)
UR - https://www.scopus.com/pages/publications/84962608732
U2 - 10.1109/IGARSS.2015.7326305
DO - 10.1109/IGARSS.2015.7326305
M3 - 会议稿件
AN - SCOPUS:84962608732
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 2449
EP - 2452
BT - 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Y2 - 26 July 2015 through 31 July 2015
ER -