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Sea clutter: Scattering, the K distribution and radar performance

https://doi.org/10.1080/17455030601097927

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inferredcites →https://doi.org/10.1049/el:19810394openalex-snapshot

Compound representation of high resolution sea clutter

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Model based coherent detection in medium grazing angle sea-clutter

inferred← citeshttps://doi.org/10.1109/radar.2016.7485251openalex-snapshot

Non-fluctuating target detection in fluctuating K-distributed interference and noise

inferred← citeshttps://doi.org/10.1109/radar.2016.7485321openalex-snapshot

Detection in sea clutter by artificial diversity based on statistical dithering

inferred← citeshttps://doi.org/10.1109/radar.2017.7944278openalex-snapshot

Simultaneous execution of multiple radar tasks using OFDMA

inferred← citeshttps://doi.org/10.1109/radar.2018.8378540openalex-snapshot

Sparse signal separation methods for target detection in sea-clutter

inferred← citeshttps://doi.org/10.1109/radar.2018.8378546openalex-snapshot

Non-coherent radar detection probability in compound sea clutter with correlated speckle

inferred← citeshttps://doi.org/10.1109/radar.2018.8378603openalex-snapshot

Sea surface scattering of hurricane maria remnants using bistatic passive radar with S-band satellite illumination

inferred← citeshttps://doi.org/10.1109/radar.2018.8557222openalex-snapshot

Comparison of Sparse Signal Separation Algorithms for Maritime Radar Target Detection

inferred← citeshttps://doi.org/10.1109/radar.2018.8557239openalex-snapshot

Characterisation of the Tri-Modal Discrete Sea Clutter Model

inferred← citeshttps://doi.org/10.1109/radar.2018.8557256openalex-snapshot

Comparison of Bi-Modal Coherent Sea Clutter Models

inferred← citeshttps://doi.org/10.1109/radar.2018.8557270openalex-snapshot

Multiscan Recursive Bayesian Method for Parameter Estimation of Spatially-Varying Sea Clutter Models

inferred← citeshttps://doi.org/10.1109/radar.2018.8557328openalex-snapshot

Simple Analytic Approximation for Non-Coherent Radar Detection with Partially Correlated Target RCS and Compound Sea Clutter

inferred← citeshttps://doi.org/10.1109/radar.2019.8835580openalex-snapshot

Sparse Detection in Sea-Clutter using Orthogonal Matching Pursuit

inferred← citeshttps://doi.org/10.1109/radar.2019.8835677openalex-snapshot

Single Snapshot Coherent Detection in Sea Clutter

inferred← citeshttps://doi.org/10.1109/radar.2019.8835683openalex-snapshot

Distinguishing Small Targets from Sea Clutter Using Dynamic Models

inferred← citeshttps://doi.org/10.1109/radar.2019.8835730openalex-snapshot

Analysis of S-band Passive Bistatic Sea Clutter

inferred← citeshttps://doi.org/10.1109/radar.2019.8835809openalex-snapshot

Dual-Functional Radar Waveforms without Remodulation

inferred← citeshttps://doi.org/10.1109/radar41533.2019.171217openalex-snapshot

Bernoulli Filter for Track-Before-Detect: Swerling-1 Target in K-distributed Clutter

inferred← citeshttps://doi.org/10.1109/radar41533.2019.171222openalex-snapshot

Analysis of Bistatic Radar Sea Clutter Amplitude Distributions at Low Grazing Angles

inferred← citeshttps://doi.org/10.1109/radar41533.2019.171306openalex-snapshot

A Comparative Study of Track-Before-Detect Algorithms in Radar Sea Clutter

inferred← citeshttps://doi.org/10.1109/radar41533.2019.171340openalex-snapshot

Passive Bistatic Sea Clutter Statistics from a Ku-band Spaceborne Illuminator

inferred← citeshttps://doi.org/10.1109/radar41533.2019.171342openalex-snapshot

Statistical Analysis of Clutter for Passive Radar on an Airborne Platform

inferred← citeshttps://doi.org/10.1109/radar42522.2020.9114813openalex-snapshot

Practical Detection using Sparse Signal Separation

inferred← citeshttps://doi.org/10.1109/radar42522.2020.9114820openalex-snapshot

Bernoulli Multi-Target Track-Before-Detect for Maritime Radar

inferred← citeshttps://doi.org/10.1109/radar42522.2020.9114850openalex-snapshot

Contrast of Contextual Fisher Vectors for Ship Detection in SAR Images

inferred← citeshttps://doi.org/10.1109/radarconf.2015.7411865openalex-snapshot

Comparison of distributions for real and synthetic aperture sea-clutter

inferred← citeshttps://doi.org/10.1109/radarconf.2015.7411867openalex-snapshot

Statistical and spectral modelling of medium grazing angle coherent radar data

inferred← citeshttps://doi.org/10.1109/radarconf.2015.7411868openalex-snapshot

Distribution analysis of segmented wave sea clutter in littoral environments

inferred← citeshttps://doi.org/10.1109/radarconf2043947.2020.9266490openalex-snapshot

MIMO Radar Detection in Compound Gaussian Sea Clutter Using Joint Model and Sample Selection

inferred← citeshttps://doi.org/10.1109/radarconf2043947.2020.9266535openalex-snapshot

Hybrid Detection Approaches using the Single Data Set Algorithm

inferred← citeshttps://doi.org/10.1109/radarconf2147009.2021.9455263openalex-snapshot

Exploiting Doppler in Bernoulli Track-Before-Detect

inferred← citeshttps://doi.org/10.1109/sam.2016.7569665openalex-snapshot

Joint optimization of transmit beam-width and time-on-target in sea-search radars

inferred← citeshttps://doi.org/10.1109/sam48682.2020.9104318openalex-snapshot

Target Detection in Clutter Using Receiver with Reduced DOF in Frequency Domain

inferred← citeshttps://doi.org/10.1109/siprocess.2019.8868771openalex-snapshot

Weak Moving Target Detection Based on Short-Time Fourier Transform in Sea Clutter

inferred← citeshttps://doi.org/10.1109/siu.2009.5136527openalex-snapshot

CA-CFAR detection in spatially correlated K-distributed sea clutter

inferred← citeshttps://doi.org/10.1109/siu.2010.5649278openalex-snapshot

A comparison of two CA-CFAR loss calculation methods in spatially correlated K-Distributed sea clutter

inferred← citeshttps://doi.org/10.1109/siu.2010.5649973openalex-snapshot

The detection performance of Neyman-Pearson detector for MIMO radar in K-distributed sea clutter

inferred← citeshttps://doi.org/10.1109/siu.2016.7496005openalex-snapshot

Range migration compensation based on keystone transform in sea clutter

inferred← citeshttps://doi.org/10.1109/sps.2015.7168273openalex-snapshot

Ground based MIMO SAR and land clutter modelling: Difficulties and guidelines

inferred← citeshttps://doi.org/10.1109/ssd.2015.7348114openalex-snapshot

Estimating the K-distribution parameters based on fractional negative moments

inferred← citeshttps://doi.org/10.1109/ssd.2015.7348118openalex-snapshot

Sea clutter modeling in presence of thermal noise using beta-prime texture distribution

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