Results 1 to 10 of about 3,397 (198)
Absorptive Weak Plume Detection on Gaussian and Non-Gaussian Background Clutter [PDF]
For additive signals on Gaussian clutter, the optimal detector is a linear matched filter that is adapted to the known signal and the covariance of the background. This adaptive matched filter is widely used for gas-phase plume detection, even though the
James Theiler
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Modeling of Compound Gaussian Sea Clutter Based on Inverse Gaussian Distribution
The Compound-Gaussian (CG) distribution is widely used for modeling the non-Gaussian clutter, and its texture component describes the non-Gaussian properties of clutter. In this paper, a CG model with an inverse Gaussian texture distribution is proposed,
Yan Liang +4 more
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Parameter estimation for compound‐Gaussian clutter with inverse‐Gaussian texture
This study deals with the estimation problem of the inverse‐Gaussian (IG)–compound‐Gaussian (CG) distributed clutter parameters. Under the assumption of the absence of thermal noise, non‐integer moments, log‐moments and maximum‐likelihood‐based approaches are employed for model parameter estimation in the cases of single pulse and ...
Mohamed Sahed
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Adaptive Subspace Signal Detection in Structured Interference Plus Compound Gaussian Sea Clutter
This paper discusses the problem of detecting subspace signals in structured interference plus compound Gaussian sea clutter with persymmetric structure.
Zeyu Wang +4 more
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Label GM-PHD Filter Based on Threshold Separation Clustering
Gaussian mixture probability hypothesis density (GM-PHD) filtering based on random finite set (RFS) is an effective method to deal with multi-target tracking (MTT).
Kuiwu Wang, Qin Zhang, Xiaolong Hu
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Detection of weak moving targets with a low signal‐to‐clutter ratio (SCR) in heavy‐tailed non‐Gaussian sea clutter is a challenge problem in radar signal processing.
Yujia Yan +3 more
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Non-Contact Detection of Vital Signs Based on Improved Adaptive EEMD Algorithm (July 2022)
Non-contact vital sign detection technology has brought a more comfortable experience to the detection process of human respiratory and heartbeat signals.
Didi Xu +3 more
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In high-resolution maritime surveillance radars, sea clutter exhibits highly spatial heterogeneity due to modulation of long waves with wavelengths longer than the width of one range cell.
Xiang Liang, Peng-Lang Shui, Hong-Tao Su
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Multi-Feature Matching GM-PHD Filter for Radar Multi-Target Tracking
Multi-target tracking (MTT) is one of the most important functions of radar systems. Traditional multi-target tracking methods based on data association convert multi-target tracking problems into single-target tracking problems.
Jin Tao +5 more
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In this paper, a novel time series heteroskedastic model is proposed for sea clutter modeling application. In the light of characteristics of the practical clutter at low grazing angle, the original generalized autoregressive conditional ...
Yunjian Zhang +3 more
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