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A Signal Sorting Algorithm Based on LOF De-Noised Clustering

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Communications, Signal Processing, and Systems (CSPS 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 571))

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Abstract

In this paper, an algorithm for removing outliers is proposed for low SNR signals. Firstly, the coarse separation of signals is performed by using the isolated point removal algorithm based on Euclidean distance, and then the coarsely separated data is finely separated by the LOF algorithm based on density detection. The remaining signal data after fine separation is clustered. Through simulation analysis, the algorithm can remove all isolated points at the cost of useful signal loss at low SNR, and the residual signal clustering effect is better.

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References

  1. Mei G (2011) Radar signal sorting algorithm on intensive signal condition. Harbin Engineering University, Harbin

    Google Scholar 

  2. Zhang W (2004) The application of clustering method in radar signal sorting. Radar Sci Technol 2:219–223

    Google Scholar 

  3. Zhu Z (2005) The clustering method of radar signals. Electron Countermeasures 6:6–10

    Google Scholar 

  4. Zhang R, Xia H (2015) Radar signal sorting algorithm of a new k-means Clustering Modern Def Technol 6:136–141

    Google Scholar 

  5. Chawla S, Sun P (2006) SLOM: a new measure for local spatial outliers. Knowl Information Syst 9(4):412–429

    Google Scholar 

  6. Dutta H, Giannella C, Borne K et al (2007) Distributed top-k outlier detection in astronomy catalogs using the demac system. In: Proceedings of 7th SIAM international conference on data mining

    Google Scholar 

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Acknowledgements

This work was supported by the National Natural Science Foundation of China 61201304 and 61201308. It Thanks for the Key Laboratory of Marine Environmental Monitoring and Information Processing, Ministry of Industry and Information Technology.

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Authors and Affiliations

  1. Harbin Institute of Technology, Institute of Electronicsn, Harbin, China

    Zhenyuan Ji, Yan Bu & Yun Zhang

Authors
  1. Zhenyuan Ji
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  2. Yan Bu
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  3. Yun Zhang
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Corresponding author

Correspondence to Zhenyuan Ji .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  3. School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China

    Xin Liu

  4. School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning, China

    Zhenyu Na

  5. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China

    Min Jia

  6. College of Physical and Electronic Information, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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Ji, Z., Bu, Y., Zhang, Y. (2020). A Signal Sorting Algorithm Based on LOF De-Noised Clustering. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_32

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  • DOI: https://doi.org/10.1007/978-981-13-9409-6_32

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9408-9

  • Online ISBN: 978-981-13-9409-6

  • eBook Packages: EngineeringEngineering (R0)

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