Results 51 to 60 of about 343 (132)

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

A New Jammer Suppression Method in MIMO Radar Using Matrix Pencil Method and Generalized Likelihood Ratio Test

International Journal of Antennas and Propagation, 2015
We propose a new algorithm to suppress the jammer signals and estimate the direction of arrival (DOA) of the signal of interest (SOI) for collocated MIMO radar by using the matrix pencil method (MPM) and the generalized likelihood ratio test (GLRT).
Kang-in Lee, Wonjune Kang, Young-Seek Chung, Hoon-Gee Yang, Jong Mann Kim   +4 more
doaj   +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

Reliable Fault Detection and Diagnosis of Large-Scale Nonlinear Uncertain Systems Using Interval Reduced Kernel PLS

IEEE Access, 2020
Kernel partial least squares (KPLS) models are widely used as nonlinear data-driven methods for faults detection (FD) in industrial processes. However, KPLS models lead to irrelevant performance over long operation periods due to process parameters ...
Radhia Fezai, Kamaleldin Abodayeh, Majdi Mansouri, Abdelmalek Kouadri, Mohamed-Faouzi Harkat, Hazem Nounou, Mohamed Nounou, Hassani Messaoud   +7 more
doaj   +1 more source

Influence Diagnostics in Gamma‐Pareto Regression Model With Cook’s Distance for Standardized and Adjusted Pearson, Deviance, and Likelihood Residuals: Simulation and Application

Journal of Mathematics, Volume 2025, Issue 1, 2025.
Influential analysis is the main diagnostic process to obtain reliable regression results. Same is true for the generalized linear model (GLM). The present article empirically compares the performance of different residuals of the gamma‐Pareto regression model (G‐PRM) to detect the influential points.
Nasir Saleem, Atif Akbar, Ateeq Ur Rehman Irshad, Burhanettin Ozdemir, Javaria Ahmad khan, Ljubisa Kocinac   +5 more
wiley   +1 more source

Subspace‐based distributed target detection method with small training data samples

IET Radar, Sonar &Navigation, Volume 18, Issue 12, Page 2541-2551, December 2024.
Considering the improvement of radar resolution and some problems in the practical application of adaptive target detection, the target is modelled by subspace, and two detectors are proposed based on GLRT and Wald tests respectively. Finally, the CFAR theory analysis and performance simulation analysis of the detectors are carried out.
Guangfen Wei, Zhan Zhou, Yuan Luo, Tao Jian, Xiaoming Tang   +4 more
wiley   +1 more source

Knowledge-Aided Target Detection for Multistatic Passive Radar

IEEE Access, 2019
This paper studies the detection problem for multistatic passive radar. We consider scenarios where prior knowledge about the spectrum and peak-to-average ratio (PAR) of the non-cooperative illuminators of opportunity (IOs) is available.
Guohao Sun, Wei Zhang, Jun Tong, Zishu He, Zhihang Wang   +4 more
doaj   +1 more source

A Modal-Domain Adaptive Subspace Detector in a Deep-Sea Environment

IEEE Access, 2019
In deep-sea environments, the conventional adaptive subspace detector (ASD) is realized in the hydrophone domain by applying the generalized likelihood ratio test (GLRT), in which acoustic signals lie in lower-dimensional modal subspaces. When the number
Dezhi Kong, Chao Sun, Mingyang Li, Xionghou Liu, Lei Xie   +4 more
doaj   +1 more source

Analytical Coherent Detection in High-Resolution Dual-Polarimetric Sea Clutter with Independent Inverse Gamma Textures

Remote Sensing
Polarization diversity has been widely used in maritime radars to improve target detection performance. Full utilization of the polarimetric characteristics of sea clutter is the key to designing effective polarimetric detectors.
Tingyu Duan, Penglang Shui, Jianming Wang, Shuwen Xu   +3 more
doaj   +1 more source

Secure hardware IP of GLRT cascade using color interval graph based embedded fingerprint for ECG detector

Scientific Reports
This paper presents a security aware design methodology to design secure generalized likelihood ratio test (GLRT) hardware intellectual property (IP) core for electrocardiogram (ECG) detector against IP piracy and fraudulent claim of IP ownership threats.
Anirban Sengupta, Aditya Anshul
doaj   +1 more source