Chairs: Prof. Yong Wang (Harbin Institute of Technology), Prof. Xueru Bai (Xidian University), Prof. Ying Luo (Air Force Engineering University)

Abstract:

Inverse synthetic aperture radar (ISAR) has found wide applications in non-cooperative targets imaging, feature extraction, and classification, thanks to its all-day, all-weather, long-operating range, and high-resolution capabilities. With the rapid development of advanced signal processing theory (e.g., sparse Bayesian learning and deep learning) as well as hardware upgrading, advanced ISAR signal processing and information acquisition techniques have emerged in recent years. This session covers the latest research advances in ISAR system design, signal processing, high-resolution imaging, ISAR target classification, and information acquisition techniques, including but not limited to 

•ISAR systems

•ISAR signal processing

•Motion compensation and 2D/3D imaging

•Micro-Doppler feature extraction

•Altitude estimation of ISAR targets

•ISAR target classification