TY - GEN
T1 - An adaptive NLCS technique for large-size moving target imaging with bistatic forward-looking SAR
AU - Li, Zhongyu
AU - Wu, Junjie
AU - Sun, Zhichao
AU - Huang, Yulin
AU - Yang, Haiguang
AU - Yang, Jianyu
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - This summary presents an adaptive large-size moving target imaging technique for bistatic forward-looking SAR (BFL-SAR). The main problems of this issue are that not only the echo characteristics (including range cell migration and Doppler parameters) are unknown, but also the spatial-variances of these characteristics are nonlinear for different point-scatterers. The proposed technique relies on a proper processing of the data aiming at, first, to correct the range walk by applying keystone transform over the whole received echo, and then, the relationships between the unknown high-order RCM, the nonlinear spatial-variances of the Doppler parameters, and the speed of the mover, are established. After that, using an adaptive NLCS technique, not only the unknown high-order RCM can be accurately corrected, but also the nonlinear spatial-variances of the Doppler parameters can be balanced. Numerical simulations show the effectiveness of this adaptive large-size moving target imaging technique to be employed in BFL-SAR frameworks.
AB - This summary presents an adaptive large-size moving target imaging technique for bistatic forward-looking SAR (BFL-SAR). The main problems of this issue are that not only the echo characteristics (including range cell migration and Doppler parameters) are unknown, but also the spatial-variances of these characteristics are nonlinear for different point-scatterers. The proposed technique relies on a proper processing of the data aiming at, first, to correct the range walk by applying keystone transform over the whole received echo, and then, the relationships between the unknown high-order RCM, the nonlinear spatial-variances of the Doppler parameters, and the speed of the mover, are established. After that, using an adaptive NLCS technique, not only the unknown high-order RCM can be accurately corrected, but also the nonlinear spatial-variances of the Doppler parameters can be balanced. Numerical simulations show the effectiveness of this adaptive large-size moving target imaging technique to be employed in BFL-SAR frameworks.
UR - https://www.scopus.com/pages/publications/85041826230
U2 - 10.1109/IGARSS.2017.8127467
DO - 10.1109/IGARSS.2017.8127467
M3 - 会议稿件
AN - SCOPUS:85041826230
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 2369
EP - 2372
BT - 2017 IEEE International Geoscience and Remote Sensing Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Y2 - 23 July 2017 through 28 July 2017
ER -