Background Clutter Modeling of Spatio-Temporal Sea Clutter Suppression for Low Grazing Angle X-Band Marine Radar

The electromagnetic wave emitted by radar radiates on the sea surface to form backscattering echo is defined as sea clutter. The performance of marine radar in target detection is significantly impacted by the sea clutter. The intensity of the spiky in data collected by high resolution radar with a low grazing angle results in a trailing phenomenon in the statistical distribution, which varies with changes in sea state and environmental conditions. To address the issue of unstable matching between the sea clutter distribution and the real background clutter distribution caused by spatiotemporal changes, a statistical modeling of background clutter in X-band high resolution and low grazing angle marine radar data with suppressing sea clutter. The objective of this paper is to identify the most suitable statistical distribution for the data, and to assess both the overall goodness of fit for the clutter probability density function (PDF) and the local fit for the tail region of the cumulative distribution function (CDF). The findings indicate that the KK distribution exhibits the highest overall goodness of fit, while the WW distribution demonstrates the best local fit in the tail region of the CDF distribution.

Authors

Institutions

Publication Details

Published
2024-09-23
DOI
https://doi.org/10.1109/oceans55160.2024.10754136
Citations
1
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
1.30
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Background Clutter Modeling of Spatio-Temporal Sea Clutter Suppression for Low Grazing Angle X-Band Marine Radar

Zhizhong Lu, Baotian Wen, Bowen Zhou, Yongfeng Mao
1 citations
Radar Systems and Signal Processing
1.30
article

Background Clutter Modeling of Spatio-Temporal Sea Clutter Suppression for Low Grazing Angle X-Band Marine Radar

Zhizhong Lu, Baotian Wen, Bowen Zhou, Yongfeng Mao
article en
1 citations

Abstract

The electromagnetic wave emitted by radar radiates on the sea surface to form backscattering echo is defined as sea clutter. The performance of marine radar in target detection is significantly impacted by the sea clutter. The intensity of the spiky in data collected by high resolution radar with a low grazing angle results in a trailing phenomenon in the statistical distribution, which varies with changes in sea state and environmental conditions. To address the issue of unstable matching between the sea clutter distribution and the real background clutter distribution caused by spatiotemporal changes, a statistical modeling of background clutter in X-band high resolution and low grazing angle marine radar data with suppressing sea clutter. The objective of this paper is to identify the most suitable statistical distribution for the data, and to assess both the overall goodness of fit for the clutter probability density function (PDF) and the local fit for the tail region of the cumulative distribution function (CDF). The findings indicate that the KK distribution exhibits the highest overall goodness of fit, while the WW distribution demonstrates the best local fit in the tail region of the CDF distribution.

Harbin Engineering University (CN)
Life below water
Openalex Percentile: Top 12%
Radar Systems and Signal Processing
1.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Background Clutter Modeling of Spatio-Temporal Sea Clutter Suppression for Low Grazing Angle X-Band Marine Radar — Zhizhong Lu, Baotian Wen, et al. · (2024) | TGRS Research Map | TGRS