Detection background segmentation and statistical analysis for High Frequency Surface Wave Radar

Author

Li, Yang ; Hao, Song ; Zhang, Ning ; Xie, Junhao ; Shang, Shang ; Tang, Wenyan

Author_Institution

Inst. of Electron. Eng. Technol., Harbin Inst. of Technol., Harbin, China

Volume

1

fYear

2011

fDate

24-27 Oct. 2011

Firstpage

130

Lastpage

133

Abstract

A scheme of detection background segmentation and statistical analysis for High Frequency Surface Wave Radar (HFSWR) is presented. Clutter and noise in HFSWR is multi-sourced of which statistical distribution is complex. To overcome this problem, a detection background segmentation algorithm based on the cloud model is proposed to divide the background into several clutter/noise regions, and Weibull distribution is used to fit the segmentation regions, noted as seg-regions. According to the statistical fitting results, the difference of seg-regions is measured by KL divergence, and the segmentation algorithm is optimized.

Keywords

Weibull distribution; radar clutter; radar detection; statistical analysis; KL divergence; Weibull distribution; cloud model; clutter/noise regions; detection background segmentation; high frequency surface wave radar; seg-regions; statistical analysis; statistical distribution; statistical fitting; Clutter; Fitting; Linearity; Radar detection; Scattering; Weibull distribution; Background Segmentation; Cloud Model; Detection Background Analysis; HFSWR; KL Divergence; Statistical Analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar (Radar), 2011 IEEE CIE International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-8444-7

Type

conf

DOI

10.1109/CIE-Radar.2011.6159492

Filename

6159492