The latest research on clustering algorithms used for radar signal sorting

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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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Wang, S. qiang, Gao, C., Zhang, Q., Zeng, H. yong, & Bai, J. (2020). The latest research on clustering algorithms used for radar signal sorting. In Advances in Intelligent Systems and Computing (Vol. 1031 AISC, pp. 799–805). Springer. https://doi.org/10.1007/978-981-13-9406-5_95

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