Residual RCM Correction for LFM-CW Mini-SAR System Based on Fast-Time Split-Band Signal Interferometry

• Published in: IEEE transactions on geoscience and remote sensing Vol. 57; no. 7; pp. 4375 - 4387
• Main Authors: Fu, Xikai, Wang, Bingnan, Xiang, Maosheng, Jiang, Shuai, Sun, Xiaofan
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.07.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Aircraft; Algorithms; Azimuth; Cell adhesion & migration; Cell migration; Computer simulation; Continuous radiation; Estimation; Fast-time split-band signal interferometry; Frequency dependence; Frequency modulation; Image quality; Inertial platforms; Interferometric synthetic aperture radar; Interferometry; linear frequency modulation continuous wave (LFM-CW); mini-synthetic aperture radar (SAR); Misalignment; Motion compensation; Profiles; Radar imaging; Remote sensing; Resampling; residual range cell migration (RCM); SAR (radar); Synthetic aperture radar
• ISSN: 0196-2892; 1558-0644
• DOI: 10.1109/TGRS.2019.2890978

A linear frequency modulation continuous-wave mini-synthetic aperture radar (SAR) system mounted on small aircrafts promises a high-flexibility and cost-effective microwave remote sensing technology. However, the mini-SAR system suffers from considerable trajectory deviations due to aircraft's lightweight, low flight height, and limited capacity for a high-accuracy inertial measurement unit (IMU). With the rapid increasing requirements for resolution, the residual range cell migration (RCM) exceeds a single range cell. Under such circumstances, traditional autofocus algorithms fail to guarantee well-focused mini-SAR images and further accurate interferometric SAR (InSAR) applications. To solve these problems, this paper proposed a novel residual RCM correction scheme for a mini-SAR system mounted on small aircrafts without high-accuracy IMU. The core idea is to estimate the misalignments of adjacent range profiles based on fast-time split-band signal interferometry at each azimuth time and integrate them with time to obtain an estimation of residual RCM. The proposed method promises a high-accuracy misalignment estimation result without resampling operation in the traditional cross-correlation methods. Simulation and experimental results show the improvement of mini-SAR image focusing quality and refinement of coherence map between the master and slave images for InSAR applications, which demonstrated the effectiveness and reliability of our proposed residual RCM correction scheme for the mini-SAR system.