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SCIENCE CHINA Information Sciences, Volume 62, Issue 4: 040304(2019) https://doi.org/10.1007/s11432-018-9744-2

Improved track-before-detect method for detecting range-spread targets in generalized Pareto clutter

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  • ReceivedJul 3, 2018
  • AcceptedDec 6, 2018
  • PublishedFeb 20, 2019

Abstract

There is no abstract available for this article.


Acknowledgment

This work was supported by National Natural Science Foundation of China (Grant No. 61871303), Natural Science Basic Research Plan in Shaanxi Province of China (Grant No. 2017JM6031), Young Talent fund of University Association for Science and Technology in Shaanxi (Grant No. 20160205), CSC visiting scholar foundation (Grant No. 201706965034), and Foreign Scholars in University Research and Teaching Programs (the 111 Project) (Grant No. B18039).


References

[1] Carretero-Moya J, Gismero-Menoyo J, Blanco-del-Campo A. Statistical Analysis of a High-Resolution Sea-Clutter Database. IEEE Trans Geosci Remote Sens, 2010, 48: 2024-2037 CrossRef ADS Google Scholar

[2] Sangston K J, Gini F, Greco M S. Coherent Radar Target Detection in Heavy-Tailed Compound-Gaussian Clutter. IEEE Trans Aerosp Electron Syst, 2012, 48: 64-77 CrossRef ADS Google Scholar

[3] Shang X Q, Song H J, Wang Y. Adaptive detection of distributed targets in compound-Gaussian clutter with inverse gamma texture. Digital Signal Processing, 2012, 22: 1024-1030 CrossRef Google Scholar

[4] Yi W, Jiang H C, Kirubarajan T. Track-Before-Detect Strategies for Radar Detection in G0-Distributed Clutter. IEEE Trans Aerosp Electron Syst, 2017, 53: 2516-2533 CrossRef ADS Google Scholar

[5] Jiang H C, Yi W, Cui G L. Track-before-detect strategies for range distributed target detection in compound-Gaussian clutter. Signal Processing, 2016, 120: 462-467 CrossRef Google Scholar

[6] Currie B, Bakker R. The McMaster IPIX radar sea clutter database. http://soma.ece.mcmaster.ca/ipix/. Google Scholar

[7] Yi W, Kong L J, Yang J Y. Thresholding Process Based Dynamic Programming Track-Before-Detect Algorithm. IEICE Trans Commun, 2013, E96.B: 291-300 CrossRef ADS Google Scholar

  • Figure 1

    (Color online) Performance evaluation. (a) Performance curves; (b) power map of the returns with A-$\mathrm{SCR}=2~\mathrm{dB}$; (c) detection (yellow) and missed (green) results with A-$\mathrm{SCR}=2~\mathrm{dB}$; (d) power map of the return with A-$\mathrm{SCR}=6~\mathrm{dB}$; (e) detection (yellow) and missed (green) results with A-$\mathrm{SCR}=6~\mathrm{dB}$.

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