Micro-Doppler signature analysis of low-observable marine target in sparse domain

Recently, it has been proved that sea clutter is significantly variable and sea surface subjects have their micro-motions influenced by the sea state. The micro-Doppler (m-D) signatures can describe the refined motion characteristics of sea surface target, which provides a new solution for detection...

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Bibliographic Details
Published inIET Conference Proceedings
Main Authors Guan, Jian, Chen, Xiaolong, Dong, Yunlong, He, You
Format Conference Proceeding
LanguageEnglish
Published Stevenage The Institution of Engineering & Technology 23.10.2017
Subjects
Clutter
Frequency distribution
Industrial research
Radar data
Sea states
Signature analysis
Superhigh frequencies
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Summary:Recently, it has been proved that sea clutter is significantly variable and sea surface subjects have their micro-motions influenced by the sea state. The micro-Doppler (m-D) signatures can describe the refined motion characteristics of sea surface target, which provides a new solution for detection and recognition. Accordingly, it needs to find new analysis methods for m-D signals, which should possess high-resolution in time-frequency domain, high efficiency, and anti-clutter ability. In this paper, the sparse properties of m-D signal is analyzed and a novel concept named as sparse time-frequency distribution (STFD) is proposed combing the merits of classical TFD and sparse representation. Finally, the micromotion properties in sparse domain are obtained using real radar data, i.e., X-band intelligent pixel (IPIX) radar data and Council for Scientific and Industrial Research (CSIR) data collected in South Africa.
Bibliography:ObjectType-Conference Proceeding-1
SourceType-Conference Papers & Proceedings-1
content type line 21
ISBN:9781785616723
1785616722
DOI:10.1049/cp.2017.0428