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Radio frequency fingerprint identification (RFFI) distinguishes wireless devices by the small variations in their analog circuits, avoiding heavy cryptographic authentication. While deep learning on spectrograms improves accuracy, models…

Cryptography and Security · Computer Science 2025-09-22 Aarushi Mahajan , Wayne Burleson

Low Earth orbit (LEO) satellite constellations bring broadband internet and cellular service to the most remote locations on the planet. Unfortunately, many of these locations also host some of the world's best optical and radio astronomy…

In Earth remote sensing, spatial-frequency domain visibility samples are inversely transformed into spatial-domain brightness temperature (BT) images through the signal processing pipeline of synthetic aperture interferometric radiometers…

Signal Processing · Electrical Eng. & Systems 2026-04-03 Yuankai Luo , Han Zhou , Jinlong Hao , Dong Zhu , Fei Hu

Radio Frequency Fingerprinting (RFF) techniques allow a receiver to authenticate a transmitter by analyzing the physical layer of the radio spectrum. Although the vast majority of scientific contributions focus on improving the performance…

Cryptography and Security · Computer Science 2025-11-24 Gabriele Oligeri , Savio Sciancalepore

Low-loss transmission and sensitive recovery of weak radio-frequency (rf) and microwave signals is an ubiquitous technological challenge, crucial in fields as diverse as radio astronomy, medical imaging, navigation and communication,…

When wireless communication signals impinge on a moving human they are affected by micro-Doppler. A passive receiver of the resulting signals can calculate the spectrogram that produces different signatures depending on the human activity.…

Signal Processing · Electrical Eng. & Systems 2023-05-04 Antonios Argyriou

Passive space-borne radiometers operating in the 1400-1427 MHz protected frequency band face radio frequency interference (RFI) from terrestrial sources. With the growth of wireless devices and the appearance of new technologies, the…

Machine Learning · Computer Science 2023-04-27 Ali Owfi , Fatemeh Afghah

An increase in availability of Software Defined Radios (SDRs) has caused a dramatic shift in the threat landscape of legacy satellite systems, opening them up to easy spoofing attacks by low-budget adversaries. Physical-layer authentication…

Signal Processing · Electrical Eng. & Systems 2025-03-07 Cédric Solenthaler , Joshua Smailes , Martin Strohmeier

We introduce SigNova, a new semi-supervised framework for detecting anomalies in streamed data. While our initial examples focus on detecting radio-frequency interference (RFI) in digitized signals within the field of radio astronomy, it is…

Instrumentation and Methods for Astrophysics · Physics 2024-03-13 Paola Arrubarrena , Maud Lemercier , Bojan Nikolic , Terry Lyons , Thomas Cass

Radio Frequency Interference (RFI) corrupts astronomical measurements, thus affecting the performance of radio telescopes. To address this problem, supervised segmentation models have been proposed as candidate solutions to RFI detection.…

Instrumentation and Methods for Astrophysics · Physics 2022-10-12 Michael Mesarcik , Albert-Jan Boonstra , Elena Ranguelova , Rob V. van Nieuwpoort

We present a novel neural network (NN) method for the detection and removal of Radio Frequency Interference (RFI) from the raw digitized signal in the signal processing chain of a typical radio astronomy experiment. The main advantage of…

Instrumentation and Methods for Astrophysics · Physics 2022-11-30 Benjamin R. B. Saliwanchik , Anže Slosar

Ground-based 21-cm experiments targeting the global signal from the periods of Cosmic Dawn (CD) and Epoch of Reionization (EoR) are susceptible to adverse effects presented by i) the ionosphere ii) antenna chromaticity induced by objects in…

Instrumentation and Methods for Astrophysics · Physics 2023-08-08 Sonia Ghosh , Mayuri Sathyanarayana Rao , Saurabh Singh

Radio Frequency Interference (RFI) increasingly contaminates the radio astronomy spectrum, often exceeding astronomical signal amplitudes by 50-70 dB. Reliable detection and mitigation are therefore essential for studies of faint transient…

Instrumentation and Methods for Astrophysics · Physics 2026-05-08 Natalia A. Schmid , Sasanka Katreddi , Yechan Kweon

This paper investigates artificial noise injection into the temporal and spatial dimensions of a legitimate wireless communication system to secure its transmissions from potential eavesdropping. We consider a multiple-input single-output…

Information Theory · Computer Science 2017-06-21 Ahmed El Shafie , Zhiguo Ding , Naofal Al-Dhahir

This article introduces an energy and spectral efficient multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) transmission scheme designed for the future sixth generation (6G) wireless communication…

Signal Processing · Electrical Eng. & Systems 2024-04-10 Sen Wang , Tianxiong Wang , Shulun Zhao , Zhen Feng , Guangyi Liu , Chunfeng Cui , Chih-Lin I , Jiangzhou Wang

Passive emitter tracking (PET) algorithms can estimate both the range and Doppler of a wireless emitter when it uses orthogonal frequency division multiplexing (OFDM). In this paper we are interested to prevent this from happening by an…

Signal Processing · Electrical Eng. & Systems 2023-03-14 Antonios Argyriou

A successful ground array Radio Frequency (RF)-only self-trigger on 10 high-energy cosmic ray events is demonstrated with 256 dual-polarization antennas of the Owens Valley Radio Observatory Long Wavelength Array (OVRO-LWA). This RF-only…

Orthogonal Frequency-Division Multiplexing (OFDM) is widely used in modern wireless communication systems due to its robustness against time-dispersive channels. In this work, we consider a non-cooperative scenario where the receiver does…

Information Theory · Computer Science 2025-11-25 Vishnu Priya Chekuru , Ganapathiraju S S Ananya Varma , Arti Yardi , Praful Mankar

Radio Frequency Interference (RFI) from anthropogenic radio sources poses significant challenges to current and future radio telescopes. Contemporary approaches to detecting RFI treat the task as a semantic segmentation problem on radio…

Neural and Evolutionary Computing · Computer Science 2026-01-23 Nicholas J Pritchard , Andreas Wicenec , Mohammed Bennamoun , Richard Dodson

Radio Frequency Interference (RFI) poses a significant challenge in radio astronomy, arising from terrestrial and celestial sources, disrupting observations conducted by radio telescopes. Addressing RFI involves intricate heuristic…

Neural and Evolutionary Computing · Computer Science 2024-12-09 Nicholas J. Pritchard , Andreas Wicenec , Mohammed Bennamoun , Richard Dodson
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