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Optimal Predictive Inference and Noncoherent CFAR Detectors

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4757-4286-2openalex-snapshot
Statistical Decision Theory and Bayesian Analysis
inferredcites →https://doi.org/10.1007/978-1-4899-4467-2openalex-snapshot
Predictive Inference: An Introduction
inferredcites →https://doi.org/10.1007/978-94-009-5794-7openalex-snapshot
Intermediate Mathematical Statistics
inferredcites →https://doi.org/10.1007/s11045-013-0275-yopenalex-snapshot
Examination of classical detection schemes for targets in Pareto distributed clutter: do classical CFAR detectors exist, as in the Gaussian case?
inferredcites →https://doi.org/10.1016/j.dsp.2014.04.010openalex-snapshot
General transformation approach for constant false alarm rate detector development
inferredcites →https://doi.org/10.1016/j.sigpro.2014.04.025openalex-snapshot
Management of interference in Pareto CFAR processes using adaptive test cell analysis
inferredcites →https://doi.org/10.1016/s0378-3758(01)00199-9openalex-snapshot
Group invariant inference and right Haar measure
inferredcites →https://doi.org/10.1049/el.2011.0518openalex-snapshot
Assessing Pareto fit to high-resolution high-grazing-angle sea clutter
inferredcites →https://doi.org/10.1049/el:19830493openalex-snapshot
False-alarm probabilities for a log- t detector in k -distributed clutter
inferredcites →https://doi.org/10.1049/el:19850225openalex-snapshot
CFAR problems in weibull clutter
inferredcites →https://doi.org/10.1049/iet-rsn.2011.0374openalex-snapshot
Constant false alarm rate detectors for pareto clutter models
inferredcites →https://doi.org/10.1049/ip-f-2.1990.0023openalex-snapshot
Order statistcs CFAR for Weibull background
inferredcites →https://doi.org/10.1049/ip-rsn:19960745openalex-snapshot
Cell-averaging CFAR gain in spatiallycorrelated K-distributed clutter
inferredcites →https://doi.org/10.1109/18.335950openalex-snapshot
Optimality of the cell averaging CFAR detector
inferredcites →https://doi.org/10.1109/7.366292openalex-snapshot
Optimal CFAR detection in Weibull clutter
inferredcites →https://doi.org/10.1109/7.7185openalex-snapshot
Analysis of CFAR processors in nonhomogeneous background
inferredcites →https://doi.org/10.1109/7.826340openalex-snapshot
Proof of CFAR by the use of the invariant test
inferredcites →https://doi.org/10.1109/78.414779openalex-snapshot
A maximal invariant framework for adaptive detection with structured and unstructured covariance matrices
inferredcites →https://doi.org/10.1109/78.506617openalex-snapshot
Invariant tests for spatial stationarity using covariance structure
inferredcites →https://doi.org/10.1109/lgrs.2017.2743686openalex-snapshot
Minimum-Based Sliding Window Detectors in Correlated Pareto Distributed Clutter
inferredcites →https://doi.org/10.1109/lsp.2015.2395811openalex-snapshot
A Systematic Framework for Composite Hypothesis Testing of Independent Bernoulli Trials
inferredcites →https://doi.org/10.1109/lsp.2017.2704612openalex-snapshot
On Time-Reversal Imaging by Statistical Testing
inferredcites →https://doi.org/10.1109/lsp.2017.2710344openalex-snapshot
An Invariant Sliding Window Detection Process
inferredcites →https://doi.org/10.1109/radar.2010.5494513openalex-snapshot
The Pareto distribution for low grazing angle and high resolution X-band sea clutter
inferredcites →https://doi.org/10.1109/taes.1973.309705openalex-snapshot
False-Alarm Regulation in Log-Normal and Weibull Clutter
inferredcites →https://doi.org/10.1109/taes.1979.308861openalex-snapshot
Low-Loss Almost Constant False-Alarm Rate Processors
inferredcites →https://doi.org/10.1109/taes.1980.308885openalex-snapshot
Detectability Loss Due to "Greatest Of" Selection in a Cell-Averaging CFAR
inferredcites →https://doi.org/10.1109/taes.1982.309210openalex-snapshot
Analysis of Some Modified Cell-Averaging CFAR Processors in Multiple-Target Situations
inferredcites →https://doi.org/10.1109/taes.1985.310668openalex-snapshot
Ordered Statistic CFAR Processing for Two-Parameter Distributions with Variable Skewness
inferredcites →https://doi.org/10.1109/taes.2007.4285370openalex-snapshot
Maximum likelihood estimation for compound-gaussian clutter with inverse gamma texture
inferredcites →https://doi.org/10.1109/taes.2012.6178094openalex-snapshot
A CFAR Detector in a Nonhomogenous Weibull Clutter
inferredcites →https://doi.org/10.1109/taes.2016.150508openalex-snapshot
Analysis of a dual order statistic constant false alarm rate detector
inferredcites →https://doi.org/10.1109/taes.2017.2665144openalex-snapshot
Enhancing Goldstein's Log-t Detector in Pareto-Distributed Clutter
inferredcites →https://doi.org/10.1109/taes.2017.2705498openalex-snapshot
Noncoherent Radar Detection in Correlated Pareto Distributed Clutter
inferredcites →https://doi.org/10.1109/tap.1976.1141451openalex-snapshot
A model for non-Rayleigh sea echo
inferredcites →https://doi.org/10.1109/tgrs.2016.2620138openalex-snapshot
On the Construction of CFAR Decision Rules via Transformations
inferredcites →https://doi.org/10.1109/tsp.2002.806554openalex-snapshot
CFAR detection of multidimensional signals: an invariant approach
inferredcites →https://doi.org/10.1109/tsp.2013.2245662openalex-snapshot
Generalized CFAR Property and UMP Invariance for Adaptive Signal Detection
inferredcites →https://doi.org/10.1109/tsp.2014.2328327openalex-snapshot
Invariance and Optimality of CFAR Detectors in Binary Composite Hypothesis Tests
inferredcites →https://doi.org/10.1109/tsp.2014.2348952openalex-snapshot
A CFAR Adaptive Subspace Detector Based on a Single Observation in System-Dependent Clutter Background
inferredcites →https://doi.org/10.1109/tsp.2015.2500181openalex-snapshot
Asymptotically Optimal CFAR Detectors
inferredcites →https://doi.org/10.1109/tsp.2016.2519003openalex-snapshot
A Unifying Framework for Adaptive Radar Detection in Homogeneous Plus Structured Interference— Part I: On the Maximal Invariant Statistic
inferredcites →https://doi.org/10.1109/tsp.2016.2620115openalex-snapshot
On the Statistical Invariance for Adaptive Radar Detection in Partially Homogeneous Disturbance Plus Structured Interference
inferredcites →https://doi.org/10.1109/tsp.2017.2712124openalex-snapshot
On Multiple Covariance Equality Testing with Application to SAR Change Detection
inferredcites →https://doi.org/10.1201/9781315154015openalex-snapshot
Radar Detection Theory of Sliding Window Processes
inferredcites →https://doi.org/10.1215/ijm/1256047608openalex-snapshot
Elementary amenable groups
inferredcites →https://doi.org/10.12988/ces.2014.3737openalex-snapshot
Constant false alarm rate detection in Pareto distributed clutter: further results and optimality issues
inferredcites →https://doi.org/10.2307/3318417openalex-snapshot
Prediction and Asymptotics
inferredcites →https://doi.org/10.2307/3318446openalex-snapshot
Consistency and Strong Inconsistency of Group-Invariant Predictive Inferences

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A novel Bayesian optimal detector-based approach for determining the first arrival time of wire breakage-induced near-wall acoustic wave in PCCPs
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Development of non-coherent CFAR detection processes in Weibull background
inferred← citeshttps://doi.org/10.1016/j.dsp.2020.102781openalex-snapshot
A Bayesian CFAR detector for interference control in Weibull clutter
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A robust constant false alarm rate detector based on the Bayesian estimator for the non-homogeneous Weibull Clutter in HFSWR
inferred← citeshttps://doi.org/10.1016/j.dsp.2021.103079openalex-snapshot
Weighted likelihood CFAR detection for Weibull background
inferred← citeshttps://doi.org/10.1016/j.heliyon.2022.e10054openalex-snapshot
Signal detection with spectrum windows
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Closed‐form expressions and statistical analysis of constant false alarm rate detection in multiple false target jamming condition
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Multi‐Hypothesis Grid‐Based Detection Network for Small and Weak Targets in Range‐Doppler Spectrum Images
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A Hybrid Features–Based Target Detection Scheme for Maritime Radar
inferred← citeshttps://doi.org/10.1109/iccc57788.2023.10233537openalex-snapshot
Bayesian CFAR Detector in Weibull Clutter via Interference Control
inferred← citeshttps://doi.org/10.1109/icsidp62679.2024.10868321openalex-snapshot
A CFAR Detector Based on Elastic Net for HFSWR
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Joint CLEAN-Based Truncation and Sidelobe Suppression for Enhanced CFAR Detection
inferred← citeshttps://doi.org/10.1109/jsen.2023.3319339openalex-snapshot
DGSCR: Double-Target Gesture Separation and Classification Recognition Based on Deep Learning and Millimeter-Wave Radar
inferred← citeshttps://doi.org/10.1109/jsen.2024.3382137openalex-snapshot
Robust CFAR Detector Based on CLEAN for Sidelobe Suppression
inferred← citeshttps://doi.org/10.1109/jsen.2024.3500213openalex-snapshot
A Multiple-Target Detection Algorithm Based on Mixed Echo Model for HFSWR
inferred← citeshttps://doi.org/10.1109/lsp.2026.3728722openalex-snapshot
Exact Closed-Form Performance Analysis of Quantile Regression CFAR Detectors
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Analysis of CFAR Detection in a Pareto Type II Clutter with Multiple Pulses
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A Bayesian-Based CFAR Detector for Pareto Type II Clutter
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CTS-CFAR: A Robust CFAR Detector for Outlier-Contaminated Environments
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Robust CFAR Detector Based on Censored Harmonic Averaging in Heterogeneous Clutter
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CFAR Detection Based on the Nonlocal Low-Rank and Sparsity-Driven Laplacian Regularization for HFSWR
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A Robust Variability Index CFAR Detector for Weibull Background
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Performance Analysis of Linearly Combined Order Statistics CFAR Processors in Heterogeneous Background
inferred← citeshttps://doi.org/10.1109/taes.2024.3476233openalex-snapshot
Robust CFAR Detection in Heterogeneous Weibull Background via Bayesian Area Interference Control
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A Neural Network CFAR Detector Based on Local Clutter Power Estimation Under Unsupervised Learning for HFSWR
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Bayesian Interference Control CFAR Detector in Gamma-Distributed Background Using Discrete Truncated Gaussian Function
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Robust Variability Index CFAR Detector Based on Bayesian Interference Control
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Wi-CCFAR: Wi-Fi CSI-Based Controllable False Alarm Rate Human Presence Detector With Normalizing Flow
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mm-Wave based Gesture Recognition through FMCW Radar using Deep Learning
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mm wave based Gesture Recognition through FMCW Radar using Deep Learning Techniques
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Assessment of Complex Signal Parameters Effect on the Energy Concealment Degree
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Evaluation of Additive White Gaussian Noise Influence on the Energy Stealthiness of Complex Signals
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Multi-Hand Gesture Recognition Using Automotive FMCW Radar Sensor
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