Radar Emitter Recognition Based on Parameter Set Clustering and Classification

Radar Emitter Recognition Based on Parameter Set Clustering and Classification

An important task in the Electronic Support Measures (ESM) field is analyzing and recognizing radar signals. Feature extraction is one of the primary key elements of radar emitter recognition algorithms. Current research mainly finds statistical features such as the mean and variance of parameters f...

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Bibliographic Details
Main Authors: Tao Xu, Shuo Yuan, Zhangmeng Liu, Fucheng Guo
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
radar emitter recognition
electronic support measures
pulse train
clustering
decision tree
Online Access:https://www.mdpi.com/2072-4292/14/18/4468

Internet

https://www.mdpi.com/2072-4292/14/18/4468

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