Low-observable target detection in sea clutter based on Q-MMSPF

Author

Kang Sun ; Gang Jin ; Chao-yu Wang ; Chao-wei Ma ; Wei-ping Qian ; Mei-guo Gao

Author_Institution

Beijing Inst. of Tracking & Telecommun. Technol., Beijing, China

fYear

2014

fDate

29-30 Sept. 2014

Firstpage

1068

Lastpage

1071

Abstract

A novel method for the analysis of long-range cross-correlations and multifractality - qth-order mixed moment structure partition function (Q-MMSPF) method is proposed in this paper, and is used to investigate the multifractal cross-correlation characteristic of sea clutter data. An approach based on a new statistical index is put forward for detecting the targets in sea clutter. The experiments results show that the target could be clearly distinguished from the sea clutter background with the proposed feature-based method.

Keywords

correlation methods; object detection; radar clutter; radar detection; statistical analysis; Q-MMSPF method; feature-based method; long-range multifractal cross-correlation characteristics; low-observable target detection; qth-order mixed moment structure partition function method; radar sea clutter data; statistical index; Clutter; Correlation; Educational institutions; Fractals; Object detection; Radar clutter; Multifractal cross-correlation analysis; qth order mixed moment structure partition function; sea clutter; target detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Research and Technology in Industry Applications (WARTIA), 2014 IEEE Workshop on

Conference_Location

Ottawa, ON

Type

conf

DOI

10.1109/WARTIA.2014.6976461

Filename

6976461