Study on Airborne Near-Nadir TOPS SAR Imaging with Attitude Angle Error

• Published in: IEEE transactions on geoscience and remote sensing Vol. 60; p. 1
• Main Authors: Li, Han, Suo, Zhiyong, Zheng, Chengxin, Zhang, Jinqiang, Li, Zhenfang
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Attitude Angle Error; Attitudes; Azimuth; Centroids; Data analysis; Data imaging; Data processing; Doppler sonar; Entropy; Error analysis; Frequency Chirp Scaling (FCS); Full data imaging; Imaging; Imaging techniques; Minimum Entropy; Near-nadir; Nonlinear Least Square Method (NLSM); SAR (radar); Scaling; Surface water; Synthetic aperture radar; Synthetic Aperture Radar (SAR); Terrain Observation by Progressive Scans SAR (TOPS SAR)
• ISSN: 0196-2892; 1558-0644
• DOI: 10.1109/TGRS.2022.3226221

Combined with terrain observation by progressive scans (TOPS) synthetic aperture radar (SAR), near-nadir SAR (N-SAR) system has great potential for the surface water and ocean topography (SWOT) observation. However, one practical problem of the airborne N-SAR is the non-ideal attitude angle caused by the environment. Normally, the influence of attitude angle error can be considered as a constant squint angle of the system. However, in fact, for the near-nadir SAR system with TOPS SAR mode, the attitude angle error will cause a non-ideal 2-dimensional space-variant Doppler centroid for the receiving data and cause the traditional imaging algorithm failure. To deal with such problems, an imaging algorithm with attitude angle estimation for the near-nadir TOPS SAR system is proposed in this paper. Firstly, the influence of attitude angle error and the signal properties are analyzed. Secondly, based on the analysis, an attitude angle estimate algorithm (AAE), utilizing the nonlinear least square method (NLSM) and minimum entropy criterion, is proposed. Then, based on the estimated altitude angle, without data blocking, a full data imaging algorithm (FDA) is proposed. Its main idea is to obtain an un-ambiguous azimuth spectrum and design an appropriate range-variant azimuth filter through frequency chirp scaling (FCS). The numerical simulations and real data processing demonstrate that the proposed algorithm has good performance on attitude angle error estimation and well-focused image obtaining.