Blind sub-Nyquist GNSS signal detection

Ondrej Daniel, Jussi Raasakka, Pekka Peltola, Markus Fröhle, Alejandro Rivero-Rodriguez, Henk Wymeersch, Jari Nurmi

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    1 Citation (Scopus)

    Abstract

    A satellite navigation receiver traditionally searches for positioning signals using an acquisition procedure. In situations, in which the required information is only a binary decision whether at least one positioning signal is present or absent, the procedure represents an unnecessarily complex solution. This paper presents a different approach for the binary detection problem with significantly reduced computational complexity. The approach is based on a novel decision metric which is utilized to design two binary detectors. The first detector operates under the theoretical assumption of additive white Gaussian noise and is evaluated by means of Receiver Operating Characteristics. The second one considers also additional interferences and is suitable to operate in a real environment. Its performance is verified using a signal captured by a receiver front-end.

    Original languageEnglish
    Title of host publication2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
    PublisherIEEE
    Pages6575-6579
    Number of pages5
    ISBN (Print)9781479999880
    DOIs
    Publication statusPublished - 18 May 2016
    Publication typeA4 Article in conference proceedings
    EventIEEE International Conference on Acoustics, Speech and Signal Processing -
    Duration: 1 Jan 19001 Jan 2000

    Publication series

    Name
    ISSN (Print)1520-6149

    Conference

    ConferenceIEEE International Conference on Acoustics, Speech and Signal Processing
    Period1/01/001/01/00

    Keywords

    • Global Navigation Satellite Systems
    • indoor/outdoor detection
    • signal detection

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Signal Processing
    • Software
    • Electrical and Electronic Engineering

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