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The Latest Research on Clustering Algorithms Used for Radar Signal Sorting

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Recent Trends in Intelligent Computing, Communication and Devices

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1006))

Abstract

As an important part of electronic intelligence (ELINT) and electronic support measurement (ESM) systems, radar signal sorting directly affects the performance of electronic reconnaissance equipment and is a key technology for decision making. This paper discusses several clustering methods which could be used for radar signal sorting. The discussion includes artificial neural networks, classical clustering algorithm and its improvement, and support vector clustering.

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Acknowledgements

This paper was supported in part by the National Natural Science Foundation of China under the Grant No. 61601499, 61701527, and 61601503.

Author information

Authors and Affiliations

  1. Air and Missile Defense College, Air Force Engineering University, Xi’an, 710051, China

    Shi-qiang Wang, Qin Zhang, Hui-yong Zeng & Juan Bai

  2. Basic Department, Air Force Engineering University, Xi’an, 710051, China

    Caiyun Gao

Authors
  1. Shi-qiang Wang
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  2. Caiyun Gao
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  3. Qin Zhang
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  4. Hui-yong Zeng
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  5. Juan Bai
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Corresponding author

Correspondence to Hui-yong Zeng .

Editor information

Editors and Affiliations

  1. Victoria Business School, Victoria University of Wellington, Wellington, New Zealand

    Vipul Jain

  2. Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  3. University "Politehnica" of Bucharest, Bucharest, Romania

    Florin Popențiu Vlădicescu

  4. Department of Computer Science and Engineering, Oakland University, Rochester, MI, USA

    Ishwar K. Sethi

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Wang, Sq., Gao, C., Zhang, Q., Zeng, Hy., Bai, J. (2020). The Latest Research on Clustering Algorithms Used for Radar Signal Sorting. In: Jain, V., Patnaik, S., Popențiu Vlădicescu, F., Sethi, I. (eds) Recent Trends in Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 1006. Springer, Singapore. https://doi.org/10.1007/978-981-13-9406-5_95

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