Improved Frame-Selection Scheme for ISAR Imaging of Targets in Complex 3-D Motion

التفاصيل البيبلوغرافية
العنوان: Improved Frame-Selection Scheme for ISAR Imaging of Targets in Complex 3-D Motion
المؤلفون: Kyung-Tae Kim, Chan-Hong Kim, Bo-Hyun Ryu, Byung-Soo Kang
المصدر: IEEE Sensors Journal. 18:111-121
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE), 2018.
سنة النشر: 2018
مصطلحات موضوعية: Motion compensation, Computer science, 010401 analytical chemistry, Particle swarm optimization, 020206 networking & telecommunications, 02 engineering and technology, 01 natural sciences, 0104 chemical sciences, law.invention, Inverse synthetic aperture radar, Robustness (computer science), law, Radar imaging, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Image sensor, Radar, Instrumentation, Algorithm
الوصف: When a target is in complex three-dimensional (3-D) motions, inverse synthetic aperture radar (ISAR) images cannot be obtained with any motion compensation algorithms. To address this problem, phase nonlinearity can be used to select imaging frames where target 2-D motion is dominant enough to obtain focused ISAR images. Conventionally, adaptive joint time frequency (AJTF) and particle swarm optimization (PSO) algorithms are performed to estimate the phase signals of prominent scatterers. These estimates are used to determine phase nonlinearity. However, such estimation algorithms undergo multi-dimensional optimizations, which yield significant increases in computational complexity for ISAR frame-selections. For more practical use of AJTF- and PSO-based frame-selections, we introduce a method to improve the computational efficiencies of the conventional methods. To this end, in the proposed method, a simple phase unwrapping-and-least square fitting method is used as an alternative to the AJTF and PSO methods. Because PU-LSM can provide reliable phase estimates quickly without complex optimization procedures, the proposed method is an improvement over AJTF- and PSO-based methods, especially in terms of computational efficiency. In simulations using ideal point scatterers, our proposed method performs well, in terms of frame-selection ability and computational efficiency. Furthermore, experimental results using real radar echoes validated the robustness and efficacy our proposed frame-selection method.
تدمد: 2379-9153
1530-437X
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::ef76e6dc3616418f15a1fbfa4129d936
https://doi.org/10.1109/jsen.2017.2770165
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........ef76e6dc3616418f15a1fbfa4129d936
قاعدة البيانات: OpenAIRE