Results 61 to 70 of about 1,390 (218)
IET Cyber-Systems and Robotics, Volume 8, Issue 1, January/December 2026.ABSTRACT With the rapid proliferation of unmanned aerial vehicles (UAVs) in the military, logistics and public safety sectors, the threat of illegal intrusion, information theft, and security breaches has increased. This paper provides a comprehensive review of recent developments in counter‐unmanned aerial vehicle (counter‐UAV) systems, focussing on ...
Lei Xing, Can Cui, Miao Wang, Chao Xu
wiley +1 more source
Modelling of continuously distributed target for bistatic synthetic aperture radar imaging
The Journal of Engineering, 2020 The point target model is widely used in the synthetic aperture radar (SAR) imaging simulation. Based on this model, the radar echo of a continuously distributed target can be expressed as the linear summation of the echo of many point targets which are ...
Xinliang Chen +3 more
doaj +1 more source
A Box Gradient‐Based Anisotropic Diffusion Framework for Polarimetric SAR Despeckling
Electronics Letters, Volume 62, Issue 1, January/December 2026.This paper proposes a novel anisotropic diffusion framework for PolSAR despeckling, driven by a newly defined complex‐domain Box gradient. The method adaptively suppresses speckle while preserving structural and point‐target details, and experiments on real AIRSAR data confirm superior performance over existing filters.
Songli Han, Dawei Ren, Jian Yang
wiley +1 more source
Relativistic Effects in Bistatic SAR Processing and System Synchronization [PDF]
, 2012 This paper addresses relativistic effects in bistatic and multistatic SAR systems and missions. It is shown that the use of different reference frames for bistatic SAR processing and bistatic radar synchronization is prone to nota-ble phase and time ...
De Zan, Francesco, Krieger, Gerhard
core
Field test of bistatic forward-looking synthetic aperture radar [PDF]
, 2022 S.424-429Monostatic radar systems reach their limits if a two-dimensional resolution is desired for a forward-looking geometry. Bistatic systems offer an alternative to handle this problem if the transmitter operates as a separated illuminator while the
Balke, F.
core +1 more source
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.In this article, we provide a Gaussian beam‐based method to compute the RCS of dielectric and dielectric‐coated targets in both the monostatic and bistatic cases. ABSTRACT This study proposes to extend and refine the methodology of Gaussian beam summation (GBS) for computing the radar cross section (RCS) of dielectric targets in both monostatic and ...
Thomas Bonnafont +3 more
wiley +1 more source
Bi- and Multistatic SAR: Potentials and Challenges [PDF]
, 2004 Bi- and multistatic synthetic aperture radar (SAR) operates with distinct transmit and receive antennas which are mounted on separate platforms. Such a spatial separation has several operational advantages which will increase the capability, reliability ...
Moreira, Alberto +2 more
core
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.Moving targets often appear defocused and displaced in SAR imagery, complicating detection and recognition—especially when displaced into cluttered regions, where signal‐to‐background ratio is reduced. This work presents a multistatic SAR framework that extracts moving target signatures and reconstructs focused images, providing new insights into the ...
Francis Watson +2 more
wiley +1 more source
Efficient Time-Domain Focussing for General Bistatic SAR Configurations: Bistatic Fast Factorised Backprojection [PDF]
, 2010 Due to the lack of an appropriate symmetry in the acquisition geometry, generalised bistatic SAR cannot benefit from the two main properties of low-to-moderate resolution monostatic SAR: azimuth-invariance and topography-insensitivity.
Moreira, Alberto +3 more
core
Characterisation and Classification of Resident Space Objects Using Radar Networks
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.This paper describes a simulated environment for generating Inverse Synthetic Aperture Radar (ISAR) images and interferometric point clouds using a three‐receiver radar configuration, along with the creation of extensive datasets to train and evaluate deep learning models under varying Signal‐to‐Noise Ratio (SNR) conditions. Findings show that modified
Manjunath Thindlu Rudrappa +2 more
wiley +1 more source