TY - GEN
T1 - A modified imaging formation algorithm for bistatic SAR based on GPS-L5 signal
AU - Zeng, Hong Cheng
AU - Chen, Jie
AU - Zhang, Hao Jie
AU - Yang, Wei
AU - Wang, Peng Bo
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - Comparing with the traditional global navigation satellite system (GNSS) based Bistatic SAR (GNSS-based BiSAR), the BiSAR based on GPS-L5 signal plays a superior role in remote sensing applications, as for its feature of stronger power and larger bandwidth. In applying this method, the consequent problems, yet, such as long dwell time and large range cell migration (RCM) are inevitably leading the traditional image processing algorithm non-applicable. Therefore, a refined imaging formation algorithm for this BiSAR data imagery was proposed. Firstly, a modified bulk RCM correction (RCMC) was presented based on a fifth-order two-dimensional point target spectrum. After bulk RCMC processing, the phase resulted from RCM and range-azimuth coupling at the reference range was removed. Then, as the bulk RCMC dramatically changed the echo's range history, a refined hybrid correlation operation emerged to compensate the residual phase errors. Finally, the simulation and imaging results measures the validity and accuracy of the proposed method.
AB - Comparing with the traditional global navigation satellite system (GNSS) based Bistatic SAR (GNSS-based BiSAR), the BiSAR based on GPS-L5 signal plays a superior role in remote sensing applications, as for its feature of stronger power and larger bandwidth. In applying this method, the consequent problems, yet, such as long dwell time and large range cell migration (RCM) are inevitably leading the traditional image processing algorithm non-applicable. Therefore, a refined imaging formation algorithm for this BiSAR data imagery was proposed. Firstly, a modified bulk RCM correction (RCMC) was presented based on a fifth-order two-dimensional point target spectrum. After bulk RCMC processing, the phase resulted from RCM and range-azimuth coupling at the reference range was removed. Then, as the bulk RCMC dramatically changed the echo's range history, a refined hybrid correlation operation emerged to compensate the residual phase errors. Finally, the simulation and imaging results measures the validity and accuracy of the proposed method.
KW - BiSAR
KW - Bulk RCMC
KW - GPS-L5
KW - Hybrid Correlation Operation
UR - https://www.scopus.com/pages/publications/85041795054
U2 - 10.1109/IGARSS.2017.8127909
DO - 10.1109/IGARSS.2017.8127909
M3 - 会议稿件
AN - SCOPUS:85041795054
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 4129
EP - 4132
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 -