联合的平动和转动相位自聚焦方法

doi:10.3969/j.issn.1001-2400.2016.05.006

Abstract

Abstract:

In high-resolution inverse synthetic aperture radar imaging, the rotational motion of the targets tends to introduce the time-variant Doppler modulation in the echo, which acts as the range-variant phase errors in phase history. Moreover, the performance of translational phase error compensation may be dramatically degraded without properly considering the range-variant phase errors. In this paper, an approach to joint translational and rotational phase auto-focusing is proposed. In the procedure, the joint phase error correction is modeled as range-invariant and range-variant phase errors using a metric of minimum entropy. Then the minimum-entropy optimization is solved by employing a coordinate descend method based on the quasi-Newton solver. Finally, experiment based on simulated data is performed to confirm the effectiveness of the proposed algorithm.

Key words: inverse synthetic aperture radar (ISAR), joint phase error correction, minimum entropy, coordinate descend method

ZHANG Yuhong;XING Mengdao. Approach to joint translational and rotational phase auto-focusing[J].Journal of Xidian University, 2016, 43(5): 31-35.

References

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[1]	YANG Lei;XIONG Tao;ZHANG Lei;XING Mengdao. Translational motion compensation for ISAR imaging based on joint autofocusing under the low SNR [J]. J4, 2012, 39(3): 63-71.
[2]	LIU Ya-bo;LI Jun;LI Ya-chao;XING Meng-dao. Study on dechirp SF ISAR imaging [J]. J4, 2010, 37(3): 469-475+519.

Approach to joint translational and rotational phase auto-focusing

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