Computational Burden Resulting from Image Recognition of High Resolution Radar Sensors
This paper presents a methodology for high resolution radar image generation and automatic target recognition emphasizing the computational cost involved in the process.
Elena Rufo +5 more
doaj +1 more source
Polarisation variation of linear polarised Bi‐ISAR system in space targets imaging
A bistatic inverse synthetic aperture radar (Bi‐ISAR) system is used to observe space targets through different viewing angles via a bistatic radar configuration. It is seen that the receiver of a linear polarised Bi‐ISAR system with a long baseline will
Linsheng Bu, Junling Wang
doaj +1 more source
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
Review of High-resolution Imaging Techniques of Wideband Inverse Synthetic Aperture Radar
At present, the emphasis of Inverse Synthetic Aperture Radar (ISAR) systems on the characteristics of high carrier frequency, wide bandwidth, multi-polarization capability, distribution, and networking has led to the development and progress of ISAR ...
Biao TIAN +5 more
doaj +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
Sparse Array Configuration Optimization Based on Target Priors in Distributed ISAR Imaging
In this letter, we consider the sparse array configuration optimization problem for distributed inverse synthetic aperture radar (ISAR) imaging of long‐range targets, aiming to suppress the strong grating lobes caused by sparse sampling. Particularly, we propose a distributed ISAR configuration optimization method, which constructs an equivalent ...
Siyu Zhao, Guangbin Zhang, Yan Wang
wiley +1 more source
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
Three-Dimensional Imaging Method for Array ISAR Based on Sparse Bayesian Inference
The problem of synthesis scatterers in inverse synthetic aperture radar (ISAR) make it difficult to realize high-resolution three-dimensional (3D) imaging.
Zekun Jiao +3 more
doaj +1 more source
This article presents a study on interferometric inverse synthetic aperture radar (ISAR) for three‐dimensional imaging and rotational velocity estimation. The study focuses on synchronisation error compensation in a multistatic setup with three ground‐based radars and non‐orthogonal baselines.
Manjunath Thindlu Rudrappa +3 more
wiley +1 more source
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
doaj +1 more source

