Specific Radar Emitter Identification: A Comprehensive Review

SHI Ya; ZHANG Wenbo; ZHU Mingzhe; WANG Lei; XU Shengjun

doi:10.11999/JEIT210161

Volume 44 Issue 6

Jun. 2022

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SHI Ya, ZHANG Wenbo, ZHU Mingzhe, WANG Lei, XU Shengjun. Specific Radar Emitter Identification: A Comprehensive Review[J]. Journal of Electronics & Information Technology, 2022, 44(6): 2216-2229. doi: 10.11999/JEIT210161

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SHI Ya, ZHANG Wenbo, ZHU Mingzhe, WANG Lei, XU Shengjun. Specific Radar Emitter Identification: A Comprehensive Review[J]. Journal of Electronics & Information Technology, 2022, 44(6): 2216-2229. doi: 10.11999/JEIT210161

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Specific Radar Emitter Identification: A Comprehensive Review

doi: 10.11999/JEIT210161

1.
School of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
2.
School of Electronic Engineering, Xidian University, Xi’an 710071, China

Funds: The National Natural Science Foundation of China (61803293, 61501357, 61301286, 61203137), The Natural Science Basic Research Plan in Shaanxi Province of China (2019JQ760)

Received Date: 2021-02-25
Rev Recd Date: 2022-04-21

Available Online: 2022-04-26

Publish Date: 2022-06-21

Abstract

Abstract

Specific radar emitter identification distinguishes each radar emitter based on the extracted individual features, which is crucial for electronic countermeasures. With the rapid development of deep learning, specific radar emitter identification using deep learning architecture draws great attention recently. Despite many years of research and rich achievements, there is still lack of a comprehensive review about specific radar emitter identification at present. Therefore, a systematic review is provided in this paper from four aspects: (1) the mechanism analysis of identification; (2) the handcrafted feature-based identification methods; (3) the deep learning-based identification methods; (4) and the testing datasets. Finally, the current status and the future directions are summarized, aiming at promoting the new development of specific radar emitter identification.
- Specific emitter identification,
- Individual feature,
- Mechanism analysis,
- Deep learning,
- Dataset

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References(95)

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