The DOI matches its Crossref record; 16 of the 18 references it cites were found in a registry or an index.
SCISRS: Signal Cancellation using Intelligent Surfaces for Radio Astronomy Services
Abstract
Recently, there has been great interest in facilitating coexistence of active and passive users of the electromagnetic (EM) spectrum, with the primary objective of higher spectral utilization. The major challenge for passive users, such as Radio Astronomy Services (RAS), is the need for extremely quiet skies to make astronomical observations with maximum sensitivity of the radio telescope. This is increasingly difficult to guarantee because of densification of allocated spectrum, exponential growth of ubiquitous wireless communication and out-of-band astronomical observations required to observe fast radio bursts. This requires either bidirectional collaboration between active and passive users or innovative signal processing at the telescope site to cancel any incident Radio Frequency Interference (RFI). In this work, we show the feasibility of such a paradigm, where RFI from airborne sources, e.g., aircraft, LEO satellites, etc., is cancelled at the receiver of a Radio Telescope, by shaping the EM wavefront by an array of Reconfigurable Intelligent Surfaces (RIS). In contrast to conventional beam-nulling applications for RIS, this method requires precise calculation of the phase and the amplitude of the reflected signal by the RIS in order to guarantee complete cancellation of the incident RFI. We simulate this approach in a practical setting to study its error performance and boundary conditions of the system parameters, that will lead to a demonstrable prototype in near f…
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“According to the selected chaotic system and parameters, chaotic sequences can be generated by iterative computation [39,40]. The generation of a chaotic sequence is highly random and unpredictable, which gives the encrypted image good confidentiality.”
From Image Encryption Algorithm Combining Chaotic Image Encryption and Convolutional Neural Network (2023) · cites this paper as [40]
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Metadata
- Authors
- Zou, Z., Wei, X., Saha, D., Dutta, A., & Hellbourg, G.
- Affiliations
- University at Albany, State University of New York (US)
- California Institute of Technology,Department of Astronomy
- Venue
- GLOBECOM 2022 - 2022 IEEE Global Communications Conference
- Publisher
- IEEE
- Published
- 2022-12-04
- Pages
- 4238-4243
- ISSN
- 1930-529X (ISSN-L)
- OpenAlex
- W4315629614
- Cited by
- 25
- References
- 18
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 4 · 2023: 8
- FWCI
- 8.49
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Globecom (publishedVersion)
- Funders
- National Science Foundation (2128581,2229496)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Antenna and Metasurface Technologies
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Radio Astronomy Observations and Technology
- Keywords
- reconfigurable intelligent surface, radio telescopes, ADS-B, low Earth orbit satellites, fast radio bursts
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