DocumentCode :
176926
Title :
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
Link To Document :
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