Results 51 to 60 of about 3,512 (204)

Dynamic Multistatic Synthetic Aperture Radar Imaging: Resolving Motion via Differential Semblance and k‐Space Diversity

open access: yesIET 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

Advanced Bistatic and Multistatic SAR Concepts and Applications [PDF]

open access: yes, 2006
Tutorial on Bistatic and Multistatic Synthetic Aperture Radar from EUSAR 2006 ...
Krieger, Gerhard
core  

Phaseless Multistatic Synthetic Aperture Radar Imaging

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Multistatic phaseless synthetic aperture radar (SAR) is a novel imaging modality that offers advantages in reduced hardware complexity, operability at high frequencies, robustness, jamming resistance, and improved accuracy and resolution.
Bariscan Yonel   +2 more
doaj   +1 more source

Frequency Domain Image Reconstruction for Imaging With Multistatic Dynamic Metasurface Antennas

open access: yesIEEE Access, 2022
Dynamic metasurface antennas (DMAs) have recently been introduced as a computational imaging (CI) platform that offers significant advantages over conventional imaging systems.
Vasiliki Skouroliakou   +4 more
doaj   +1 more source

Advances in Multistatic Sonar [PDF]

open access: yes, 2011
Although the concept of multistatic active sonar (MAS) has been around for over 50 years, new trends have brought this technology to the forefront of anti-submarine warfare research. These trends include advancements in sonar sensors and signal processing, advancements in submarine stealth, and a desire to track targets in noisy and reverberant ...
ORLANDO D, EHLERS F
openaire   +2 more sources

Range‐Free Localisation for Monostatic Passive Radar Employing Multi‐Narrowband Illuminators

open access: yesIET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
Range‐free localisation is considered for monostatic passive radar with multiple narrowband illuminators under unreliable time‐delay (range) measurements. Doppler/DOA (and optional Doppler‐rate) are fused in an ML framework, where velocity is iteratively updated to reduce the original 6‐D optimisation to a 3‐D position search.
Chenggeng Zhao   +4 more
wiley   +1 more source

Two-dimensional wind field observation based on multistatic meteor radars in central and eastern China

open access: yes地球与行星物理论评
All-sky meteor radars have become a reliable and widely used tool for observing horizontal winds in the mesosphere and lower thermosphere (MLT) region. This provides vital data support for the study of dynamics in this region.
Maolin Lu   +5 more
doaj   +1 more source

Performance Analysis for Joint Target Parameter Estimation in UMTS-Based Passive Multistatic Radar with Antenna Arrays Using Modified Cramér-Rao Lower Bounds

open access: yesSensors, 2017
In this study, the modified Cramér-Rao lower bounds (MCRLBs) on the joint estimation of target position and velocity is investigated for a universal mobile telecommunication system (UMTS)-based passive multistatic radar system with antenna arrays. First,
Chenguang Shi   +3 more
doaj   +1 more source

Time Reversal Detection in Multistatic Radar System

open access: yesIEEE Access, 2020
A multistatic radar system can effectively improve the detection performance owing to its spatial diversity property. However, the detection performance will degrade when there exist multipaths.
Zhaoming Zhang   +2 more
doaj   +1 more source

Characterisation and Classification of Resident Space Objects Using Radar Networks

open access: yesIET 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

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