Detection of interference in slow FH/16-QAM systems using generalized likelihood ratio test
, 2012 In this paper, we propose a generalized likelihood ratio test (GLRT)-based algorithm to detect the interference encountered in slow frequency-hopped 16-ary quadrature amplitude modulation (FH/16-QAM) systems. Both multitone interference (MTI) and partial-
Teh, Kah Chan +5 more
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A persymmetric GLRT for adaptive detection in partially-homogeneous environment
, 2007 This letter deals with the problem of adaptive detection in Gaussian disturbance with unknown but persymmetric structured covariance matrix. A partially-homogeneous environment is considered at the design stage, and a receiver based on the generalized ...
De Maio A. +3 more
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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 +4 more
doaj +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 +5 more
wiley +1 more source
Consistency and asymptotic normality of the maximum likelihood estimator in a zero-inflated generalized Poisson regression [PDF]
, 2005 Poisson regression models for count variables have been utilized in many applications. However, in many problems overdispersion and zero-inflation occur.
Min, Aleksey, Czado, Claudia
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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 +5 more
wiley +1 more source
Generalized Likelihood Ratio Test Approach to Multi-Frame Infra-Red Detection of Moving Objects
, 2001 This paper investigates the problem of detecting airborne targets in a sequence of images recorded by a long range InfraRed (IR) sensor. The target appears in the IR images as a small, weak signal embedded in a strong background clutter.
CORSINI, GIOVANNI +6 more
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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 +2 more
wiley +1 more source
GLRT Detection of Moving Targets via Multi-Baseline Along Track Interferometric SAR Systems
, 2012 Along-track interferometric synthetic aperture radar systems can be used for ground moving target indication. We analyze a scheme for detecting moving targets with unknown parameters (velocity and signal-to-clutter ratio) and with constant false-alarm ...
G. Schirinzi +5 more
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Generalized Likelihood Ratio Test for Detection of Gaussian Rank-One Signals in Gaussian Noise With Unknown Statistics [PDF]
, 2016 We consider the classical radar problem of detecting a target in Gaussian noise with unknown covariance matrix. In contrast to the usual assumption of deterministic target amplitudes, we assume here that the latter are drawn from a Gaussian distribution.
Chaumette, Eric +7 more
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