A Fingerprint Extraction Method Based on I/Q Imbalance

被引：0
|
作者：
Zhang M. [1 ]
Luo Z.-H. [2 ]
Huang J.-G. [2 ]
Sui C.-Y. [2 ]
Zhang Z.-X. [1 ]
机构：
[1] The Fifth Institute of Telecommunications Science and Technology, Chengdu, 610020, Sichuan
[2] School of Information Science and Engineering, Chengdu University, Chengdu, 610106, Sichuan
来源：
| 1600年 / Chinese Institute of Electronics卷 / 48期
关键词：
Emitter recognition; Fingerprint characteristics; I/Q imbalance; SNR estimation;
D O I：
10.3969/j.issn.0372-2112.2020.04.013
中图分类号：
学科分类号：
摘要：
In view of the shortcomings of the existing method of identification of radiant sources, a novel feature extraction method based on I/Q mismatch is proposed, which can be detected, reproducible and invariable by using the I/Q mismatch fingerprint of the source.This method is a fingerprint feature extraction method based on signal space.It needs to estimate the signal-to-noise ratio of the signal.Through comprehensive consideration, the SNR estimation method based on eigenvalue decomposition is adopted.The experimental simulation results show that, under the same signal to noise ratio, the radio frequency fingerprint feature extraction method based on I/Q mismatch is superior to the dual spectrum and Hilbert-Huang transform signal feature extraction methods. © 2020, Chinese Institute of Electronics. All right reserved.
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页码：717 / 722
页数：5
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