A Statistical Model Based on Modified Generalized-K Distribution for Sea Clutter

Penghui Huang; Zihao Zou; Xiang Gen Xia; Xingzhao Liu; Guisheng Liao

doi:10.1109/LGRS.2021.3093975

A Statistical Model Based on Modified Generalized-K Distribution for Sea Clutter

Penghui Huang, Zihao Zou^*, Xiang Gen Xia, Xingzhao Liu, Guisheng Liao

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

20 Citations (Scopus)

Abstract

Sea clutter magnitude distribution exhibits important guiding significance for the design of marine target detection algorithms and the selection of the constant false alarm rate (CFAR) detection threshold. In this letter, to deal with the limitation of the traditional generalized-K (GK) distribution in highly heterogeneous clutter scene, a modified GK (MGK) distribution is proposed for sea clutter magnitude. By combining the traditional GK and generalized Pareto distributions, the value range of power parameter and the applicable range of the distribution model are extended. The applicability of the proposed distribution model is verified by real-measured sea clutter data.

Original language	English
Journal	IEEE Geoscience and Remote Sensing Letters
Volume	19
DOIs	https://doi.org/10.1109/LGRS.2021.3093975
Publication status	Published - 2022
Externally published	Yes

Keywords

Generalized-K (GK) distribution
parameter estimation
sea clutter magnitude distribution

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/LGRS.2021.3093975

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title = "A Statistical Model Based on Modified Generalized-K Distribution for Sea Clutter",

abstract = "Sea clutter magnitude distribution exhibits important guiding significance for the design of marine target detection algorithms and the selection of the constant false alarm rate (CFAR) detection threshold. In this letter, to deal with the limitation of the traditional generalized-K (GK) distribution in highly heterogeneous clutter scene, a modified GK (MGK) distribution is proposed for sea clutter magnitude. By combining the traditional GK and generalized Pareto distributions, the value range of power parameter and the applicable range of the distribution model are extended. The applicability of the proposed distribution model is verified by real-measured sea clutter data.",

keywords = "Generalized-K (GK) distribution, parameter estimation, sea clutter magnitude distribution",

author = "Penghui Huang and Zihao Zou and Xia, {Xiang Gen} and Xingzhao Liu and Guisheng Liao",

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AU - Huang, Penghui

AU - Zou, Zihao

AU - Xia, Xiang Gen

AU - Liu, Xingzhao

AU - Liao, Guisheng

PY - 2022

Y1 - 2022

N2 - Sea clutter magnitude distribution exhibits important guiding significance for the design of marine target detection algorithms and the selection of the constant false alarm rate (CFAR) detection threshold. In this letter, to deal with the limitation of the traditional generalized-K (GK) distribution in highly heterogeneous clutter scene, a modified GK (MGK) distribution is proposed for sea clutter magnitude. By combining the traditional GK and generalized Pareto distributions, the value range of power parameter and the applicable range of the distribution model are extended. The applicability of the proposed distribution model is verified by real-measured sea clutter data.

AB - Sea clutter magnitude distribution exhibits important guiding significance for the design of marine target detection algorithms and the selection of the constant false alarm rate (CFAR) detection threshold. In this letter, to deal with the limitation of the traditional generalized-K (GK) distribution in highly heterogeneous clutter scene, a modified GK (MGK) distribution is proposed for sea clutter magnitude. By combining the traditional GK and generalized Pareto distributions, the value range of power parameter and the applicable range of the distribution model are extended. The applicability of the proposed distribution model is verified by real-measured sea clutter data.

KW - Generalized-K (GK) distribution

KW - parameter estimation

KW - sea clutter magnitude distribution

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M3 - Article

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SN - 1545-598X

VL - 19

JO - IEEE Geoscience and Remote Sensing Letters

JF - IEEE Geoscience and Remote Sensing Letters

ER -

A Statistical Model Based on Modified Generalized-K Distribution for Sea Clutter

Abstract

Keywords

UN SDGs

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