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Adaptive detection

Adaptive detection in nonhomogeneous environments using the generalized eigenrelation

Adaptive detection in nonhomogeneous environments using the generalized eigenrelation

... conventional adaptive detection problem, it is desired to detect the presence of a target signal, whose presumed array response is , in a observation vector , contaminated by Gaussian noise whose covariance ...

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Adaptive detection of distributed targets in compound-Gaussian noise without secondary data: A Bayesian approach

Adaptive detection of distributed targets in compound-Gaussian noise without secondary data: A Bayesian approach

... Adaptive detection of distributed targets has been addressed in [1] and [2]; noise is modeled in terms of independent, com- plex normal random vectors with a common covariance matrix up to possibly ...

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A bayesian approach to adaptive detection in nonhomogeneous environments

A bayesian approach to adaptive detection in nonhomogeneous environments

... a priori distribution with a known mean, see below for details. This framework allows us to obtain a general and flexible, yet simple, model of nonhomogeneous environments, without very restrictive assumptions. It ...

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Adaptive detection of a Gaussian signal in Gaussian noise

Adaptive detection of a Gaussian signal in Gaussian noise

... “Adaptive detection in non-stationary interference, Part III,” Massachusetts Institute of Technology, Lincoln Laboratory, Lexington, MA, ...“Adaptive detection and parameter estimation for ...

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Adaptive Detection Using Whitened Data When Some of the Training Samples Undergo Covariance Mismatch

Adaptive Detection Using Whitened Data When Some of the Training Samples Undergo Covariance Mismatch

... Terms—Adaptive detection, covariance mismatch, generalized likelihood ratio test, Student ...the adaptive matched filter (AMF) [7] constitute the ubiquitous references for this canonical ...

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Adaptive detection in elliptically distributed noise and under-sampled scenario

Adaptive detection in elliptically distributed noise and under-sampled scenario

... (16) For a Student distribution with degrees of freedom that will be considered in the sequel, the MF amounts to (17) The matched Þlter assumes that both and the density gen- erator are known, which is unrealistic but ...

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Adaptive detection with bounded steering vectors mismatch angle

Adaptive detection with bounded steering vectors mismatch angle

... Adaptive Detection With Bounded Steering Vectors Mismatch Angle Olivier Besson, Senior Member, IEEE Abstract—We address the problem of detecting a signal of interest (SOI), using multiple observations in ...

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Adaptive Detection of Coherent Radar Targets in the Presence of Noise Jamming

Adaptive Detection of Coherent Radar Targets in the Presence of Noise Jamming

... Danilo Orlando (SM’13) was born in Gagliano del Capo, Italy, on August 9, 1978. He received the Dr. Eng.(Hons.) degree in computer engineering and the Ph.D. degree (with maximum score) in information engineering, both ...

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Knowledge-aided covariance matrix estimation and adaptive detection in compound-Gaussian noise

Knowledge-aided covariance matrix estimation and adaptive detection in compound-Gaussian noise

... of interest embedded in colored noise modeled in terms of a com- pound-Gaussian process. The covariance matrices of the primary and the secondary data share a common structure while having different power levels. A ...

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Adaptive detection using randomly reduced dimension generalized likelihood ratio test

Adaptive detection using randomly reduced dimension generalized likelihood ratio test

... For detection purposes, this results in a low-rank AMF where the inverse of the SCM is replaced by the projector onto the subspace orthogonal to the principal ...of detection, in order to solve (1) when T ...

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An adaptive detection of spread targets in locally Gaussian clutter using a long integration time

An adaptive detection of spread targets in locally Gaussian clutter using a long integration time

... Abstract This paper deals with the problem of detecting a collision target in ground clutter, using a long integration time. A sin- gle reception channel being available, classical space time adaptive processing ...

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Adaptive detection for a differential chaos-based multiple access system on unknown multipath fading channels

Adaptive detection for a differential chaos-based multiple access system on unknown multipath fading channels

... Index Terms— Chaos, Adaptive signal detection, Multiple- access, Multipath channels, Multiuser channels. 1. INTRODUCTION Chaos-based digital communications have received much attention during these last two ...

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A Wavelet-based Optimal Filtering Method for Adaptive Detection: Application to Metallic Magnetic Calorimeters

A Wavelet-based Optimal Filtering Method for Adaptive Detection: Application to Metallic Magnetic Calorimeters

... being adaptive by evaluating continuously the structure of the ...an adaptive implementation of the matched filter in the wavelet domain can be found in ...

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Adaptive target detection in hyperspectral imaging from two sets of training samples with different means

Adaptive target detection in hyperspectral imaging from two sets of training samples with different means

... local detection of a target in hyperspectral imaging and we assume that the spectral signature of interest is buried in a background which follows an elliptically contoured distribution with unknown ...

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Autonomous and Adaptive Underwater Plume Detection and Tracking with AUVs: Concepts, Methods, and Available Technology

Autonomous and Adaptive Underwater Plume Detection and Tracking with AUVs: Concepts, Methods, and Available Technology

... Keywords: Autonomous vehicles, Adaptive systems, Marine systems, Sampling systems, Tracking applications, Marine environmental sampling, Underwater plumes 1. INTRODUCTION The ability to detect and track underwater ...

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Self-adaptive web intrusion detection system

Self-adaptive web intrusion detection system

... intrusion detection in system com- mand ...an adaptive Web intrusion detec- tion system based on outlier detection with the affinity propagation clustering algorithm and an outlier reservoir that ...

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Adaptive filtering to reduce global interference in evoked brain activity detection: a human subject case study

Adaptive filtering to reduce global interference in evoked brain activity detection: a human subject case study

... the detection threshold 共to compare with the lower bound of the PSD 兲, we can see several peaks above this threshold ...After adaptive filtering ...that adaptive filtering doubled the CNR 共from ...

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Multiclass adaptive neuro-fuzzy classifier and feature selection techniques for photovoltaic array fault detection and classification

Multiclass adaptive neuro-fuzzy classifier and feature selection techniques for photovoltaic array fault detection and classification

... input: 1) Different types of detection and classi fication methods were proposed in literature. For example, in Ref. [ 6 ] the authors proposed a Neuro-Fuzzy classi fier (NFC), by first, constructing an initial Fuzzy ...

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Photoreceptor detection in in-vivo Adaptive Optics images of the retina: Towards a simple interactive tool for the physicians

Photoreceptor detection in in-vivo Adaptive Optics images of the retina: Towards a simple interactive tool for the physicians

... Florence.Rossant@isep.fr ABSTRACT This article presents a novel photoreceptor detection algorithm ap- plied to in-vivo Adaptive Optics (AO) images of the retina obtained from an advanced ophthalmic ...

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Adaptive social learning

Adaptive social learning

... Our first main result establishes conditions on the adaptive process under which individuals ulti- mately arrive at rational behavior. These “perfect learning opportunities” (sufficiently many repe- titions of a ...

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