Image Formation of Azimuth Periodically Gapped SAR Raw Data with Complex Deconvolution

Abstract

The phenomenon of periodical gapping in Synthetic Aperture Radar (SAR), which is induced in various ways, creates challenges in focusing raw SAR data. To handle this problem, a novel method is proposed in this paper. Complex deconvolution is utilized to restore the azimuth spectrum of complete data from the gapped raw data in the proposed method. In other words, a new approach is provided by the proposed method to cope with periodically gapped raw SAR data via complex deconvolution. The proposed method provides a robust implementation of deconvolution for processing azimuth gapped raw data. The proposed method mainly consists of phase compensation and recovering the azimuth spectrum of raw data with complex deconvolution. The gapped data become sparser in the range of the Doppler domain after phase compensation. Then, it is feasible to recover the azimuth spectrum of the complete data from gapped raw data via complex deconvolution in the Doppler domain. Afterwards, the traditional SAR imaging algorithm is capable of focusing the reconstructed raw data in this paper. The effectiveness of the proposed method was validated via point target simulation and surface target simulation. Moreover, real SAR data were utilized to further demonstrate the validity of the proposed method.

Radar and Sonar Imaging and Processing

“…The phenomenon of the periodical penetration of synthetic aperture radar (SAR), which is induced in various ways, creates challenges in concentrating raw SAR data. To deal with this problem, Qian and Zhu [5] propose a new method. Complex deconvolution is used to reconstruct the azimuthal spectrum of the complete data from the raw data acquired in the proposed method.…”

SAR Imaging Method for Moving Target With Azimuth Missing Data

“…To address this issue, Y. Qian proposed a series of AMD-SAR imaging algorithms based on sparse constraints in 2018 and 2019, respectively [16] [17]. Since this class of AMD-SAR imaging algorithms will be recurrently mentioned and compared in the following description, we will abbreviate it as AMDIA for the sake of being concise.…”

Novel sparse apertures ISAR imaging algorithm via the TLS‐ESPRIT technique

“…Normally, in the ISAR system, high range resolution is gained by adopting wide‐band signals. The large relative Doppler shift between targets and radar is a guarantee for high cross‐range resolution [1–6]. Exploiting long coherence processing interval (CPI) is an effective way to enhance azimuth resolution [7, 8].…”