Tensor-Based Efficient Multi-Interferer RFI Excision Algorithms for SIMO Systems

Getu, Tilahun M.; Ajib, Wessam; Yeste-Ojeda, Omar A.

doi:10.1109/tcomm.2017.2694006

Cited by 23 publications

(6 citation statements)

References 30 publications

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“…Finally, the transmitters and receivers are implemented by means of the SDR platforms provided by the company Nutaq Inc., in particular, the Nutaq PicoSDR, and, the Nutaq ZeptoSDR [320]. This SDR infrastructure has been used to test radio frequency interference excision schemes [321], [322], and also the evaluation of scenarios for airplane connectivity [323]. The work in [324]- [326] describes an end-to-end multibeam satellite communication system emulator, called SER-ENADE, which is used for the evaluation of precoding and interference mitigation techniques [327].…”

Section: A Phy and Mac: Sdr Basedmentioning

confidence: 99%

Satellite Communications in the New Space Era: A Survey and Future Challenges

Kodheli

Lagunas

Maturo

et al. 2021

IEEE Commun. Surv. Tutorials

761

428

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Satellite communications (SatComs) have recently entered a period of renewed interest motivated by technological advances and nurtured through private investment and ventures. The present survey aims at capturing the state of the art in SatComs, while highlighting the most promising open research topics. Firstly, the main innovation drivers are motivated, such as new constellation types, on-board processing capabilities, nonterrestrial networks and space-based data collection/processing. Secondly, the most promising applications are described i.e. 5G integration, space communications, Earth observation, aeronautical and maritime tracking and communication. Subsequently, an in-depth literature review is provided across five axes: i) system aspects, ii) air interface, iii) medium access, iv) networking, v) testbeds & prototyping. Finally, a number of future challenges and the respective open research topics are described.

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Section: A Phy and Mac: Sdr Basedmentioning

confidence: 99%

Satellite Communications in the New Space Era: A Survey and Future Challenges

Kodheli

Lagunas

Maturo

et al. 2021

IEEE Commun. Surv. Tutorials

761

428

View full text Add to dashboard Cite

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“…1 RFI can be narrowband, broadband, continuous wave, or pulsed [23]. Without loss of generality, however, we aim to study the performance limits of DeepSC subjected to narrowband RFI from one or more RFI emitters.…”

Section: A System Modelmentioning

confidence: 99%

“…The RVs in the RHS of (63) -X and Ỹ per (57) -are the ratios between the independent standard normal RVs Ã, C ∼ N (0, 1) and B, C ∼ N (0, 1), respectively. Similarly, the RVs X and Y -as defined in (23) of Appendix A -are the ratios between the independent standard normal RVs A, C ∼ N (0, 1) and B, C ∼ N (0, 1), respectively. Consequently, X and X as well as Y and Ỹ have the same distributions.…”

Section: Appendix B Proof Of Theoremmentioning

confidence: 99%

“…Particularly, we study a semantic decoder's output (i.e., the recovered meaning) in the presence of RFI to determine the performance limits of a text SemCom system experiencing RFI. RFI is generally caused by intentional or unintentional interferers and is being encountered increasingly in satellite communications, microwave radiometry, radio astronomy, ultra-wideband communication systems, radar systems, and cognitive radio communication systems [21]- [23].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Performance Limits of a Deep Learning-Enabled Text Semantic Communication under Interference

Getu¹,

Saad²,

Kaddoum³

et al. 2023

Preprint

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Semantic communication (SemCom) has emerged as a 6G enabler while promising to minimize power usage, bandwidth consumption, and transmission delay by minimizing irrelevant information transmission. However, the benefits of such a semantic-centric design can be limited by radio frequency interference (RFI) that causes substantial semantic noise. The impact of semantic noise due to interference can be alleviated using an interference-resistant and robust (IR 2 ) SemCom design. Nevertheless, no such design exists yet. To shed light on this knowledge gap and stimulate fundamental research on IR 2 SemCom, the performance limits of a text SemCom system named DeepSC is studied in the presence of single-and multi-interferer RFI. By introducing a principled probabilistic framework for SemCom, we show that DeepSC produces semantically irrelevant sentences as the power of single-and multi-interferer RFI gets very large. Corroborated by Monte Carlo simulations, these performance limits offer design insights -regarding IR 2 SemCom -contrary to the theoretically unsubstantiated sentiment that SemCom techniques (such as DeepSC) work well in very low signal-to-noise ratio regimes. The performance limits also reveal the vulnerability of DeepSC and SemCom to a wireless attack using RFI. Furthermore, our introduced probabilistic framework inspires the performance analysis of many text SemCom techniques, as they are chiefly inspired by DeepSC.

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“…Due to out-of-band emissions by nearby transmitters and harmonics, jammers, spoofers, and meaconers, radio frequency interference (RFI) is being increasingly common in microwave radiometry [1], radio astronomy (RA) [2], and satellite communications (SatCom) [3], [4].…”

Section: A Related Workmentioning

confidence: 99%

Eigenvalue-Based RF Interference Detector for Multi-Antenna Wireless Communications

Getu¹,

Ajib²,

Landry³

2020

Preprint

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<div>Abstract</div><div><br></div><div>Radio frequency interference (RFI) is occurring in both satellite and terrestrial communication systems. In order to mitigate RFI efficiently, it has to be detected robustly. Toward this end, through the computation of an eigenvalue-based test statistic, an eigenvalue-based blind RFI detector is proposed for single-input multiple-output systems that may suffer from RFI. For medium to large interference-tonoise ratio (INR) regimes and under sample starved settings, Monte-Carlo simulations corroborate that the proposed blind detector manifests a comparable detection performance with a generalized likelihood ratio test (GLRT) detector fed with the knowledge of the signal of interest (SOI) channel, and a matched subspace detector fed with the knowledge of the SOI and RFI channels. Such performance signifies the applicability of the proposed RFI detector for real-time applications. <br></div>

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Tensor-Based Efficient Multi-Interferer RFI Excision Algorithms for SIMO Systems

Cited by 23 publications

References 30 publications

Satellite Communications in the New Space Era: A Survey and Future Challenges

Satellite Communications in the New Space Era: A Survey and Future Challenges

Performance Limits of a Deep Learning-Enabled Text Semantic Communication under Interference

Eigenvalue-Based RF Interference Detector for Multi-Antenna Wireless Communications

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