Multifractal correlation characteristic for radar detecting low-observable target in sea clutter

Authors:
Jian Guan;Ningbo Liu;Jian Zhang;Jie Song
Affiliations:
Department of Electronic and Information Engineering, Navy Aeronautical and Astronautical University, Erma Road 188, Yantai, Shandong 264001, PR China;Department of Electronic and Information Engineering, Navy Aeronautical and Astronautical University, Erma Road 188, Yantai, Shandong 264001, PR China;Department of Electronic and Information Engineering, Navy Aeronautical and Astronautical University, Erma Road 188, Yantai, Shandong 264001, PR China and New Equipment Training Center, Navy Aeron ...;Department of Electronic and Information Engineering, Navy Aeronautical and Astronautical University, Erma Road 188, Yantai, Shandong 264001, PR China
Venue:
Signal Processing
Year:
2010

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Abstract

This paper studies the multifractal correlation characteristic of sea clutter which can be applied to radar low-observable target detection in sea clutter. Multifractal correlation is a generalization of multifractal 'single point' statistic, and takes the spatial correlation of two points with different singularity intensity into account. The important content of this paper is the derivation of multifractal correlation from multifractal, and obtains the multifractal correlation spectrum. Then the multifractal correlation spectrum is used as a characteristic to analyze the membership degree to match board. In fact, radar target detection can be regarded as a binary-classification question, therefore the SVM (support vector machine) is applied to target detection. In the end, the real sea clutter under several conditions is used to verify the method proposed in this paper. The results show that the method has a strong performance of target detection and sea clutter suppression.