Influence of a radio frequency on RF fingerprinting accuracy based on ray tracing simulation

Woźnica, Przemysław; Kulas, Łukasz

doi:10.1109/eurocon.2013.6624987

Cited by 4 publications

(6 citation statements)

References 7 publications

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“…The simulations of the drone were performed through RT and the RF map was displayed on a 450m x 500m terrain with a 5m resolution step between the reference reception points. In [20], it is used to show the RT computation of the received power distribution over different antenna frequency settings in an indoor scenario with 10cm resolution step. Finally, in [21], the RF map is constructed for the received signal strength computed via RT at predefined reference points for indoor positioning purposes.…”

Section: Related Workmentioning

confidence: 99%

“…Indeed, for each pair of ray and reception point, one must check whether the ray is received or not. In scenarios requiring high precision as in [19] and [20], large matrix computations need to be performed to determine which rays have been received by which reception point. Moreover, in large-scale scenarios, namely at city-level, millions of rays are launched and thousands or even millions of reception points are considered depending on the level of precision sought.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Optimizing Ray Tracing Techniques for Generating Large-Scale 3D Radio Frequency Maps

Sandouno,

Barakat,

Turletti

et al. 2024

2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Optimizing Ray Tracing Techniques for Generating Large-Scale 3D Radio Frequency Maps

Sandouno,

Barakat,

Turletti

et al. 2024

2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)

View full text Add to dashboard Cite

Section: Related Workmentioning

confidence: 99%

Optimizing Ray Tracing Techniques for Generating Large-Scale 3D Radio Frequency Maps

Sandouno,

Barakat,

Turletti

et al. 2024

2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)

View full text Add to dashboard Cite

“…In a strict sense, RFF refers only to the transmitter-specific HW features. In a broader sense, the RFF process has also been studied in the context of channel characteristics or features, typically in the context of indoor positioning [ 5 , 6 , 7 , 8 ], as well as in the context of joint transmitter–receiver identification [ 9 ]. In this paper, we adopted the first definition of RFF, namely that the ‘features’ to be identified refer to HW specifics of a wireless transmitter.…”

Section: State-of-the-art-review and Paper Contributionsmentioning

confidence: 99%

A Survey of Spoofer Detection Techniques via Radio Frequency Fingerprinting with Focus on the GNSS Pre-Correlation Sampled Data

Wang

Sánchez

Caparra

et al. 2021

Sensors

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Radio frequency fingerprinting (RFF) methods are becoming more and more popular in the context of identifying genuine transmitters and distinguishing them from malicious or non-authorized transmitters, such as spoofers and jammers. RFF approaches have been studied to a moderate-to-great extent in the context of non-GNSS transmitters, such as WiFi, IoT, or cellular transmitters, but they have not yet been addressed much in the context of GNSS transmitters. In addition, the few RFF-related works in GNSS context are based on post-correlation or navigation data and no author has yet addressed the RFF problem in GNSS with pre-correlation data. Moreover, RFF methods in any of the three domains (pre-correlation, post-correlation, or navigation) are still hard to be found in the context of GNSS. The goal of this paper was two-fold: first, to provide a comprehensive survey of the RFF methods applicable in the GNSS context; and secondly, to propose a novel RFF methodology for spoofing detection, with a focus on GNSS pre-correlation data, but also applicable in a wider context. In order to support our proposed methodology, we qualitatively investigated the capability of different methods to be used in the context of pre-correlation sampled GNSS data, and we present a simulation-based example, under ideal noise conditions, of how the feature down selection can be done. We are also pointing out which of the transmitter features are likely to play the biggest roles in the RFF in GNSS, and which features are likely to fail in helping RFF-based spoofing detection.

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Influence of a radio frequency on RF fingerprinting accuracy based on ray tracing simulation

Cited by 4 publications

References 7 publications

Optimizing Ray Tracing Techniques for Generating Large-Scale 3D Radio Frequency Maps

Optimizing Ray Tracing Techniques for Generating Large-Scale 3D Radio Frequency Maps

Optimizing Ray Tracing Techniques for Generating Large-Scale 3D Radio Frequency Maps

A Survey of Spoofer Detection Techniques via Radio Frequency Fingerprinting with Focus on the GNSS Pre-Correlation Sampled Data

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