Space-variant motion compensation for synthetic aperture radar under complicated flight path

Qianrong Lu; Penghui Huang; Yesheng Gao; Xingzhao Liu

doi:10.1117/1.JRS.12.045007

23 October 2018 Space-variant motion compensation for synthetic aperture radar under complicated flight path

Qianrong Lu, Penghui Huang, Yesheng Gao, Xingzhao Liu

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 12, Issue 4, 045007 (October 2018). https://doi.org/10.1117/1.JRS.12.045007

Abstract

Motion compensation (MOCO) is an essential procedure for synthetic aperture radar under a complicated flight path. Wide swath and low-precision navigation data limit traditional MOCO algorithms. We present a space-variant MOCO method to solve two problems: (1) estimation of the deviations of radar during data acquisition and (2) range envelope correction (REC) before range cell migration correction. In the first problem, we apply phase-gradient autofocus with correlate input and weighted total least square jointly. In the second one, the chirp-scaling-based (CS) REC is proposed. Finally, both simulation and real data experiments validate the proposed method.

Citation Download Citation

Qianrong Lu, Penghui Huang, Yesheng Gao, and Xingzhao Liu "Space-variant motion compensation for synthetic aperture radar under complicated flight path," Journal of Applied Remote Sensing 12(4), 045007 (23 October 2018). https://doi.org/10.1117/1.JRS.12.045007

Received: 11 April 2018; Accepted: 14 September 2018; Published: 23 October 2018

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