Analysis of Transceiver RF Impairments on Artificial Noise Suppression in Frequency-Hopping Systems

The artificial noise shielded frequency-hopping (AN-FH) architecture can secure wireless communications against interference and eavesdropping. However, the AN suppression performance is highly sensitive to the radio frequency (RF) impairments, and the transceiver in-phase and quadrature (IQ) imbalances and phase noise in FH systems are more severe for the wide FH bandwidth. In this study, the AN-FH transceivers under RF impairments are mathematically modeled. Subsequently, distortions for transceiver phase noise are represented by the common phase error, distortions for transceiver IQ imbalances are represented by the mirror image component, and closed-form expressions for their respective power are derived and compared with the thermal noise power. Finally, the AN suppression capability is evaluated via the AN suppression ratio (ANSR), defined as the ratio of the AN-plus-noise power before and after suppression. It is found that when only phase noise exists, shortening the channel compensation cycle can enhance ANSR and reduce ANSR degradation; when the distortions’ power is smaller than the thermal noise power, it is also recommended to enhance the transmitting power and the power ratio of AN to information signals. When only IQ imbalances exist, increasing the power ratio of AN to information signals is suggested; when the distortions’ power is smaller than the thermal noise power, enhancing the transmitting power is also suggested.

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Publication Details

Journal
IEEE Transactions on Sustainable Computing
Published
2024-10-07
DOI
https://doi.org/10.1109/tsusc.2024.3475576
Citations
2
Primary Topic
Antenna Design and Optimization
Type
article
Field-Weighted Citation Impact
2.60
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article

Analysis of Transceiver RF Impairments on Artificial Noise Suppression in Frequency-Hopping Systems

Zhuo Li, Shihai Shao, Changqing Song, Hongzhi Zhao et al.
2 citations
IEEE Transactions on Sustainable Computing
Antenna Design and Optimization
2.60
article

Analysis of Transceiver RF Impairments on Artificial Noise Suppression in Frequency-Hopping Systems

Zhuo Li, Shihai Shao, Changqing Song, Hongzhi Zhao, Yong Yu
article en
2 citations

Abstract

The artificial noise shielded frequency-hopping (AN-FH) architecture can secure wireless communications against interference and eavesdropping. However, the AN suppression performance is highly sensitive to the radio frequency (RF) impairments, and the transceiver in-phase and quadrature (IQ) imbalances and phase noise in FH systems are more severe for the wide FH bandwidth. In this study, the AN-FH transceivers under RF impairments are mathematically modeled. Subsequently, distortions for transceiver phase noise are represented by the common phase error, distortions for transceiver IQ imbalances are represented by the mirror image component, and closed-form expressions for their respective power are derived and compared with the thermal noise power. Finally, the AN suppression capability is evaluated via the AN suppression ratio (ANSR), defined as the ratio of the AN-plus-noise power before and after suppression. It is found that when only phase noise exists, shortening the channel compensation cycle can enhance ANSR and reduce ANSR degradation; when the distortions’ power is smaller than the thermal noise power, it is also recommended to enhance the transmitting power and the power ratio of AN to information signals. When only IQ imbalances exist, increasing the power ratio of AN to information signals is suggested; when the distortions’ power is smaller than the thermal noise power, enhancing the transmitting power is also suggested.

IEEE Transactions on Sustainable ComputingVol. 10(3)
University of Electronic Science and Technology of China (CN)
Affordable and clean energy
Openalex Percentile: Top 8%
Antenna Design and Optimization
2.60
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Analysis of Transceiver RF Impairments on Artificial Noise Suppression in Frequency-Hopping Systems — Zhuo Li, Shihai Shao, et al. · IEEE Transactions on Sustainable Computing (2024) | TGRS Research Map | TGRS