Results 61 to 70 of about 2,572 (160)

A 3D Imaging Method for UAV Swarm Polarimetric SAR Based on Joint Sparse and Low‐Rank Structure Constraints

IET Image Processing, Volume 19, Issue 1, January/December 2025.
We designed a distributed UAV swarm SAR observation architecture that deploys multiple UAV‐borne SAR systems in the three‐dimensional space around the target scene. Each node operates in a monostatic mode, which not only reduces synchronization requirements but also provides robustness against single‐node failure.
Wei Li, Yanheng Ma, Xiaolin Ma, Bingxuan Li, Xingyu Zhao, Leiping Xi   +5 more
wiley   +1 more source

Adaptive Double Pulse Dual Coprime Frequency Diverse Array Multiple Input Multiple Output Radar for Enhanced Range, Angle and Doppler Estimation

IET Microwaves, Antennas &Propagation, Volume 19, Issue 1, January/December 2025.
This article presents a Double Pulse Method utilising recently developed DCFDA‐MIMO array. This method achieves improved target parameter estimation with significantly computational complexity. ABSTRACT In this paper, we propose a Double Pulse‐based Dual Coprime Frequency Diverse Array Multiple Input Multiple Output (DCFDA‐MIMO) radar for enhanced ...
Umair Hafeez Khan, Abdul Basit, Nauman Anwar Baig, Wasim Khan, Muhammad Adeel Khan Jadoon   +4 more
wiley   +1 more source

Censored Distributed Space-Time Coding for Wireless Sensor Networks

EURASIP Journal on Advances in Signal Processing, 2007
We consider the application of distributed space-time coding in wireless sensor networks (WSNs). In particular, sensors use a common noncoherent distributed space-time block code (DSTBC) to forward their local decisions to the fusion center (FC) which ...
R. Schober, S. Yiu
doaj   +1 more source

Enhanced Detection of False Data Injection Attacks Using Hybrid Clustering‐Classification for Various Penetration and Distribution Levels of Renewables

IET Renewable Power Generation, Volume 19, Issue 1, January/December 2025.
A new false data injection attack detection method for AC state estimation in grids with various types (wind and solar), distributions, and penetration levels of renewables that is developed based on hybrid machine learning, leveraging soft and hard clustering before the classification‐based anomaly detection.
Farhad Pirhadi, Hossein Seifi, Hamed Delkhosh   +2 more
wiley   +1 more source

Designing Statistical Model-based Discriminator for Identifying Computer-generated Graphics from Natural Images [PDF]

Journal of Universal Computer Science, 2019
The purpose of this paper is to differentiate between natural images (NI) acquired by digital cameras and computer-generated graphics (CG) created by computer graphics rendering software. The main contributions of this paper are threefold.
Mingying Huang, Ming Xu, Tong Qiao, Ting Wu   +3 more
doaj   +3 more sources

Searching for a trail of evidence in a maze

, 2007
Consider a graph with a set of vertices and oriented edges connecting pairs of vertices. Each vertex is associated with a random variable and these are assumed to be independent.
Arias-Castro, Ery, Candès, Emmanuel J., Helgason, Hannes, Zeitouni, Ofer   +3 more
core   +4 more sources

Multi‐agent track confirmation utilising reinforcement learning and game theoretics

IET Radar, Sonar &Navigation, Volume 19, Issue 1, January/December 2025.
This research investigates the problem of track conformation for a search and evade challenge within the context of the radar resource management domain. To analyse how agent collaboration affects the ability of multiple radar agents in confirming an evasive target, a high‐fidelity radar simulation was designed. This research implemented and test three
Geoffrey Dolinger, Timothy Sharp, Bryan Lavender, Alexander Stringer, Joseph Karch, Adam Bowersox, Justin Metcalf   +6 more
wiley   +1 more source

Blind user detection in doubly-dispersive DS/CDMA channels

, 2009
In this work, we consider the problem of detecting the presence of a new user in a direct-sequence/code-division-multiple-access (DS/CDMA) system with a doubly-dispersive fading channel, and we propose a novel blind detection strategy which only requires
Buzzi, Stefano, De Maio, Antonio, Venturino, Luca, Zappone, Alessio   +3 more
core   +1 more source

Eigenvalue Based Detection by Combining Eigenvector‐Correlated Signal in Low SNR Environment

IET Signal Processing, Volume 2025, Issue 1, 2025.
Eigenvalue detection is extensively utilized in numerous applications, including spectrum sensing in cognitive radio. However, the characteristics of the Tracy–Widom (TW2) distribution and its lack of accurate close‐form expression limit the detection performance based on the extreme eigenvalue.
Wei Ge, Chao Yang, Yizhou Feng, Xiaofang Deng, Lin Zheng, Hasan Mir   +5 more
wiley   +1 more source

On the Maximal Invariant Statistic for Adaptive Radar Detection in Partially-Homogeneous Disturbance with Persymmetric Covariance

, 2016
This letter deals with the problem of adaptive signal detection in partially-homogeneous and persymmetric Gaussian disturbance within the framework of invariance theory.
Ciuonzo, D., Orlando, D., Pallotta, L.
core   +1 more source