Results 61 to 70 of about 10,102,394 (160)

A Novel Ship Detector Based on the Generalized-Likelihood Ratio Test for SAR Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017
Ship detection with synthetic aperture radar (SAR) images, acquired at different working frequencies, is presented in this paper where a novel technique is proposed based on the generalized-likelihood ratio test (GLRT).
Pasquale Iervolino, Raffaella Guida
doaj   +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

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

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

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

Likelihood inference for small variance components

, 2000
In this paper, we develop likelihood-based methods for making inferences about the components of variance in a general normal mixed linear model. In particular, we use local asymptotic approximations to construct confidence intervals for the components ...
Stern, S.E., Welsh, A.H.
core   +1 more source

Recent Advances in Automatic Modulation Classification Technology: Methods, Results, and Prospects

International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
As an essential technology for spectrum sensing and dynamic spectrum access, automatic modulation classification (AMC) is a critical step in intelligent wireless communication systems, aiming at automatically recognizing the modulation schemes of received signals.
Qinghe Zheng, Xinyu Tian, Lisu Yu, Abdussalam Elhanashi, Sergio Saponara, Eugenio Vocaturo   +5 more
wiley   +1 more source

Enhanced Multidimensional Nonlinear Correlation via Phase Reconstruction and Broad Learning for Distributed Fusion Detection of Weak Pulse Signals

International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
Due to the intricate chaotic environments encountered in distributed sensor applications, such as sea monitoring, machinery fault diagnosis, and EEG weak signal detection, neural networks often face insufficient data to effectively carry out detection tasks.
Liyun Su, Xuelian Long, Alexander Hošovský   +2 more
wiley   +1 more source

Restricted Likelihood Ratio Testing in Linear Mixed Models with General Error Covariance Structure [PDF]

, 2011
We consider the problem of testing for zero variance components in linear mixed models with correlated or heteroscedastic errors. In the case of independent and identically distributed errors, a valid test exists, which is based on the exact finite ...
Sonja Greven, Wiencierz, Andrea, Küchenhoff, Helmut, Andrea Wiencierz, Helmut Küchenhoff, Greven, Sonja   +5 more
core   +1 more source

Pseudo-Likelihood Estimation for Incomplete Data [PDF]

, 2011
In statistical practice, incomplete measurement sequences are the rule rather than the exception. Fortunately, in a large variety of settings, the stochastic mechanism governing the incompleteness can be ignored without hampering inferences about the ...
Verbeke, G, Kenward, MG, Molenberghs, G, Teshome, B   +3 more
core   +4 more sources