[
    {
        "id": "authors:6npfj-5pw22",
        "collection": "authors",
        "collection_id": "6npfj-5pw22",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20220623-13057200",
        "type": "book_section",
        "title": "Spectrum Sharing via Collaborative RFI Cancellation for Radio Astronomy",
        "book_title": "2021 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)",
        "author": [
            {
                "family_name": "Careem",
                "given_name": "Maqsood",
                "orcid": "0000-0001-5586-9748",
                "clpid": "Careem-Maqsood-A-A"
            },
            {
                "family_name": "Chakaraborty",
                "given_name": "Shuvam",
                "clpid": "Chakaraborty-Shuvam"
            },
            {
                "family_name": "Dutta",
                "given_name": "Aveek",
                "orcid": "0000-0001-9364-0565",
                "clpid": "Dutta-Aveek"
            },
            {
                "family_name": "Saha",
                "given_name": "Dola",
                "orcid": "0000-0003-1219-575X",
                "clpid": "Saha-Dola"
            },
            {
                "family_name": "Hellbourg",
                "given_name": "Gregory",
                "orcid": "0000-0002-8191-3885",
                "clpid": "Hellbourg-Gregory"
            }
        ],
        "abstract": "Radio frequency Interference (RFI) from cellular and other communication networks is commonly mitigated at the Radio Telescope without any active collaboration with the interfering sources. The expanding Universe and simultaneous proliferation of Earth based and LEO communication infrastructure is causing unprecedented RFI that require collaborative strategies to maintain the scientific and societal goal of each. In this work, we provide a method of signal characterization and its use in subsequent cancellation, that uses Eigenspaces derived from the astronomical and the RFI signals. This is different from conventional time-frequency domain analysis, which is limited to fixed characterizations (e.g., complex exponential in Fourier methods) that cannot adapt to the changing statistics (e.g., autocorrelation) of the RFI, typically observed from communication systems. Through our analysis and simulation using real-world astronomical signals, we are able to remove RFI from cellular networks by 89.04%, which reduces excision at the Telescope.",
        "doi": "10.1109/dyspan53946.2021.9677077",
        "isbn": "978-1-6654-1339-8",
        "publisher": "IEEE",
        "place_of_publication": "Piscataway, NJ",
        "publication_date": "2021-12-13",
        "pages": "97-104"
    },
    {
        "id": "authors:bgkyv-3r611",
        "collection": "authors",
        "collection_id": "bgkyv-3r611",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20201209-153309944",
        "type": "book_section",
        "title": "A Cross-Correlation based Spectral Kurtosis RFI Detector",
        "book_title": "2020 XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science",
        "author": [
            {
                "family_name": "Nita",
                "given_name": "Gelu M.",
                "orcid": "0000-0003-2846-2453",
                "clpid": "Nita-Gelu-M"
            },
            {
                "family_name": "Hellbourg",
                "given_name": "Gregory",
                "orcid": "0000-0002-8191-3885",
                "clpid": "Hellbourg-Gregory"
            }
        ],
        "abstract": "Accurate flagging of Radio Frequency Interference (RFI) is necessary to recover instrumental efficiency and avoid false astronomical detections. Spectral Kurtosis ((SK)\u0302) is a popular operator in RFI flagging for radio astronomy due to its detection sensitivity to non-Gaussian emissions and its competitive computational cost. Most (SK)\u0302 detection pipelines are applied to single antennas or autocorrelations products. This paper investigates the application of the (SK)\u0302 to antennas cross-correlations, and demonstrates an improved detection performance compared to the auto-correlation-based approaches.",
        "doi": "10.23919/ursigass49373.2020.9232200",
        "isbn": "9789463968003",
        "publisher": "IEEE",
        "place_of_publication": "Piscataway, NJ",
        "publication_date": "2020-08",
        "pages": "1-4"
    },
    {
        "id": "authors:d5p6g-79d47",
        "collection": "authors",
        "collection_id": "d5p6g-79d47",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20201209-153308735",
        "type": "book_section",
        "title": "Spatial filtering experiment with the Murchison Widefield Array",
        "book_title": "2020 XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science",
        "author": [
            {
                "family_name": "Hellbourg",
                "given_name": "Gregory",
                "orcid": "0000-0002-8191-3885",
                "clpid": "Hellbourg-Gregory"
            },
            {
                "family_name": "Morrison",
                "given_name": "Ian",
                "clpid": "Morrison-Ian"
            }
        ],
        "abstract": "Spatial Radio Frequency Interference (RFI) filtering offers both RFI rejection and potential signal-of-interest recovery. It is as such an attractive RFI mitigation technique for radio interferometry. This paper describes an experiment of spatial filtering of an amateur radio transmission originating from the International Space Station corrupting the Murchison Widefield Array low-frequency radio telescope.",
        "doi": "10.23919/ursigass49373.2020.9232204",
        "isbn": "9789463968003",
        "publisher": "IEEE",
        "place_of_publication": "Piscataway, NJ",
        "publication_date": "2020-08",
        "pages": "1-4"
    }
]