Feature detection of sea-surface small targets via relative sample entropy in frequency domain

It has always been a difficult subject for marine radar to detect small targets on sea surface. To overcome the low detection probability of traditional detectors, a Feature Detector via Relative Sample Entropy ( denoted as FD-RSE) is proposed in this paper. First, the whitened spectrum is defined t...

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Bibliographic Details
Published inNanjing Xinxi Gongcheng Daxue Xuebao Vol. 15; no. 4; pp. 429 - 438
Main Authors Shi, Sainan, Jiang, Li, Cao, Ding, Wu, Xuzi
Format Journal Article
LanguageChinese
Published Nanjing Nanjing University of Information Science & Technology 01.08.2023
Subjects
Clutter
Detectors
Entropy
Radar
Target detection
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Summary:It has always been a difficult subject for marine radar to detect small targets on sea surface. To overcome the low detection probability of traditional detectors, a Feature Detector via Relative Sample Entropy ( denoted as FD-RSE) is proposed in this paper. First, the whitened spectrum is defined to suppress the main clutter region, thus enlarge the irregularity of the sea clutter sequence. Then, by introducing sample entropy to describe the complexity of sea clutter sequence, the relative sample entropy is extracted from whitened spectrum to serve as feature. Therefore, the diference between the geometric characteristic of sea clutter and that of target echo can be thoroughly exploited in the Doppler spectrum. Finally, the superiority of the proposed FD-RSE over traditional detectors in improving detection performance can be verified by the IPIX measured dataset.
ISSN:1674-7070
DOI:10.13878/j.cnki.jnuist.20220302002