Feature-Aided Main-Lobe Jamming Cancellation for Satellite Communication

Main-lobe jamming (MLJ) suppression presents a formidable challenge in morden satellite communication (SATCOM). In scenarios where the directions of arrival (DOAs) of the MLJ signal and the signal of interest (SOI) are either similar or identical, the commonly used spatial filtering techniques prove ineffective in suppressing MLJ signal while preserving the SOI. Given that the SOI is cooperative, we leverage cognitive prior feature information of the SOI to enhance its distinctiveness from the MLJ signal. Based on this, we propose a feature-aided MLJ suppression method using hopping coding (HC) modulation. By carefully designing a coded transmitted signal, we equivalently implement hopping in the spatial channel of the SOI. Subsequently, after reconstructing the received signal into the space-code joint domain, the MLJ suppression problem can be efficiently addressed using typical spatial filtering methods in higher dimensions. The mathematical principles behind the proposed method are first investigated to solve the MLJ suppression issue. Then a detailed feature-aided MLJ cancellation method is discussed. Theoretical analysis, along with numerical results obtained from simulations and experiments, are presented to validate that the proposed method surmounts the limitations of traditional spatial MLJ suppression methods. It successfully suppresses the jamming signal, particularly the self-protecting (SP) MLJ signal, while receiving the SOI with negligible attenuation.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-09-23
DOI
https://doi.org/10.1109/tvt.2025.3613419
Citations
1
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
4.99
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article

Feature-Aided Main-Lobe Jamming Cancellation for Satellite Communication

Hengfeng Wang, Jin Meng, Wantian Wang, Juntian Bo et al.
1 citations
IEEE Transactions on Vehicular Technology
Satellite Communication Systems
4.99
article

Feature-Aided Main-Lobe Jamming Cancellation for Satellite Communication

Hengfeng Wang, Jin Meng, Wantian Wang, Juntian Bo, Jiahao Zhang, Wei Li, Yaxing Li
article en
1 citations

Abstract

Main-lobe jamming (MLJ) suppression presents a formidable challenge in morden satellite communication (SATCOM). In scenarios where the directions of arrival (DOAs) of the MLJ signal and the signal of interest (SOI) are either similar or identical, the commonly used spatial filtering techniques prove ineffective in suppressing MLJ signal while preserving the SOI. Given that the SOI is cooperative, we leverage cognitive prior feature information of the SOI to enhance its distinctiveness from the MLJ signal. Based on this, we propose a feature-aided MLJ suppression method using hopping coding (HC) modulation. By carefully designing a coded transmitted signal, we equivalently implement hopping in the spatial channel of the SOI. Subsequently, after reconstructing the received signal into the space-code joint domain, the MLJ suppression problem can be efficiently addressed using typical spatial filtering methods in higher dimensions. The mathematical principles behind the proposed method are first investigated to solve the MLJ suppression issue. Then a detailed feature-aided MLJ cancellation method is discussed. Theoretical analysis, along with numerical results obtained from simulations and experiments, are presented to validate that the proposed method surmounts the limitations of traditional spatial MLJ suppression methods. It successfully suppresses the jamming signal, particularly the self-protecting (SP) MLJ signal, while receiving the SOI with negligible attenuation.

IEEE Transactions on Vehicular TechnologyVol. 75(3)
Naval University of Engineering (CN)
Openalex Percentile: Top 5%
Satellite Communication Systems
4.99
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Feature-Aided Main-Lobe Jamming Cancellation for Satellite Communication — Hengfeng Wang, Jin Meng, et al. · IEEE Transactions on Vehicular Technology (2025) | TGRS Research Map | TGRS