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Open AccessArticle

Specific Emitter Identification Based on Synchrosqueezing Transform for Civil Radar

1
School of Electronic Engineering, Xidian University, Xi’an 710121, China
2
Department of Electrical and Computer Engineering, Villanova University, 800 Lancaster Ave, Villanova, PA 19085, USA
*
Author to whom correspondence should be addressed.
Electronics 2020, 9(4), 658; https://doi.org/10.3390/electronics9040658
Received: 24 February 2020 / Revised: 14 April 2020 / Accepted: 15 April 2020 / Published: 16 April 2020
(This article belongs to the Special Issue Theory and Applications in Digital Signal Processing)
Time-frequency (TF) signal features are widely used in specific emitter identification (SEI) which commonly arises in many applications, especially for radar signals. Due to data scale and algorithm complexity, it is difficult to obtain an informative representation for SEI with existing TF features. In this paper, a feature extraction method is proposed based on synchrosqueezing transform (SST). The SST feature has an equivalent dimension to Fourier transform, and retains the most relevant information of the signal, leading to on average approximately 20 percent improvement in SEI for complex frequency modulation signals compared with existing handcrafted features. Numerous results demonstrate that the synchrosqueezing TF feature can offer a better recognition accuracy, especially for the signals with intricate time-varying information. Moreover, a linear relevance propagation algorithm is employed to attest to the SST feature importance from the perspective of deep learning. View Full-Text
Keywords: linear relevance propagation; specific emitter identification; synchrosqueezing transform; time-frequency analysis linear relevance propagation; specific emitter identification; synchrosqueezing transform; time-frequency analysis
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MDPI and ACS Style

Zhu, M.; Feng, Z.; Zhou, X.; Xiao, R.; Qi, Y.; Zhang, X. Specific Emitter Identification Based on Synchrosqueezing Transform for Civil Radar. Electronics 2020, 9, 658.

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