CA-CFAR Performance in K-Distributed Sea Clutter With Fully Correlated Texture

被引：11

作者：

Medeiros, Diego Silva ^{[1
]}

Almeida Garcia, Fernando Dario ^{[2
]}

Machado, Renato ^{[1
]}

Santos Filho, Jose Candido S. ^{[2
]}

Saotome, Osamu ^{[3
]}

机构：

[1] Aeronaut Inst Technol, Dept Telecommun, BR-12228900 Sao Jose Dos Campos, Brazil

[2] Univ Estadual Campinas, Sch Elect & Comp Engn, Dept Commun, Wireless Technol Lab, BR-13083852 Campinas, Brazil

[3] Aeronaut Inst Technol, Dept Appl Elect, BR-12228900 Sao Jose Dos Campos, Brazil

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2023年 / 20卷

基金：

巴西圣保罗研究基金会;

关键词：

Clutter; Detectors; Radar; Speckle; Radar clutter; Radar detection; Shape; Cell-averaging constant false-alarm rate (CA-CFAR); K-distributed clutter; probability of detection; probability of false alarm; sea clutter; COMPOUND-GAUSSIAN CLUTTER; RADAR DETECTION PREDICTION; VECTOR SUBSPACE DETECTION; TARGETS; MODEL;

D O I：

10.1109/LGRS.2023.3238169

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

Sea clutter has been a long-standing issue in old and modern radars. Under this context, the K-distribution has emerged as a promising clutter model to accurately mimic sea signal variations in a large variety of radar systems. To guarantee an adequate radar performance in the presence of sea clutter, the family of constant false-alarm rate (CFAR) detectors has been commonly used. In particular, due to its adequate balance between performance and implementation, the cell-averaging CFAR (CA-CFAR) detector has been considered an attractive detection mechanism to enhance radar performance over various clutter environments. In this work, we assess radar performance considering a CA-CFAR detector operating over K-distributed sea clutter with fully correlated texture. More precisely, we derive novel closed-form expressions for the probability of detection (P-D) and the probability of false alarm ( P-FA) that can be readily evaluated using any mathematical software. Monte-Carlo (MC) simulations corroborate our analytical findings.

引用

页数：5

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