Unblurring ISAR Imaging for Maneuvering Target Based on UFGAN
Inverse synthetic aperture radar (ISAR) imaging for maneuvering targets suffers from a Doppler frequency time-varying problem, leading to the ISAR images blurred in the azimuth direction.
Wenzhe Li+3 more
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ISAR Imaging of Maneuvering Targets Based on the Modified Discrete Polynomial-Phase Transform
Inverse synthetic aperture radar (ISAR) imaging of a maneuvering target is a challenging task in the field of radar signal processing. The azimuth echo can be characterized as a multi-component polynomial phase signal (PPS) after the translational ...
Yong Wang+3 more
doaj +1 more source
Research of InISAR imaging based on joint translational compensation
In order to solve the problem that conventional inverse synthetic aperture radar three-dimensional (InISAR 3D) imaging methods need too much computation and so many restrictions in image registration step, this study proposes an InISAR 3D imaging ...
Kai Zhang, Yingni Hou, Lin Jin
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Simulation of Bistatic Inverse Synthetic Aperture Radar Image Generation
Abstract This paper introduces a bistatic ISAR imaging technique. In bistatic geometry, the transmitter and receiver are placed in different locations. The monostatic ISAR is inadequate not only for obtaining images on targets approaching along the radar’s line of sight, but also for stealth targets.
Eunjung Yang+2 more
openaire +3 more sources
ISAR Imaging of Ship Targets Based on an Integrated Cubic Phase Bilinear Autocorrelation Function
For inverse synthetic aperture radar (ISAR) imaging of a ship target moving with ocean waves, the image constructed with the standard range-Doppler (RD) technique is blurred and the range-instantaneous-Doppler (RID) technique has to be used to improve ...
Jibin Zheng+3 more
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An ISAR target motion estimation algorithm based on a differential semblance criterion
This study presents a novel approach for improving rotational motion estimation in multistatic Inverse Synthetic Aperture Radar (ISAR) imaging through a Differential Semblance Optimization (DSO) criterion. By reducing discrepancies across images from multiple transmitter–receiver pairs, our method enables precise yaw rotation estimation and produces ...
D. P. Huxley+2 more
wiley +1 more source
Joint Noise Suppression and Resolution Enhancement of ISAR Images Using Integrated Neural Networks
This study proposes an integrated neural network for simultaneous noise suppression and resolution enhancement in inverse synthetic aperture radar (ISAR) images. The proposed approach sequentially combines separate generative models for each task and optimizes them using a joint learning strategy.
Seonmin Cho+5 more
wiley +1 more source
Imaging of High-Speed Aerial Targets With ISAR Installed on a Moving Vessel
An inverse synthetic aperture radar (ISAR) technique is proposed to acquire high-resolution steady images of high-speed aerial target with radar installed on a moving vessel.
Dau-Ming Wu, Jean-Fu Kiang
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Hybrid polarimetry inverse synthetic aperture radar
The CTLR hybrid‐pol ISAR offers an efficient solution for non‐cooperative target applications, striking an optimal balance between conventional single‐pol ISAR and the widely used full‐pol ISAR. This approach is particularly advantageous for compact radar systems, such as those used in drones and small ground‐radar setups, where it could prove to be a ...
Ajeet Kumar+2 more
wiley +1 more source
Performance Analysis on ISAR Imaging of Space Targets
Usually, in traditional Inverse Synthetic Aperture Radar (ISAR) systems design and mode selection for space satellite targets, coherent integration gain in azimuth direction hardly can be analyzed, which depends on target’s motion.
Zhou Yejian+3 more
doaj +1 more source