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 journalArticlepeer-review

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 languageEnglish
JournalIEEE Geoscience and Remote Sensing Letters
Volume19
DOIs
Publication statusPublished - 2022
Externally publishedYes

UN SDGs

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

  1. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

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

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