Interference is a major threat to the safe and secure operation of global navigation satellite system (GNSS) receivers particular in disturbing scenarios. Therefore, correct detection and reliable mitigation of interfering signals are critical to the delivery of mission-critical positioning, navigation, and timing services. In this article, an effective interference detection and mitigation (ID&M) method based on the fractional Fourier transform (FrFT) has been proposed for GNSS receivers. This article addresses the problem of inefficient search methods and unreliable ID&M of the current techniques. First, it develops an efficient optimal fractional-order determination model first-order moment of magnitude of the FrFT to reduce the computational complexity compared with the traditional FrFTs maximum magnitude and generalized time-fractional bandwidth product approaches. Second, an effective GNSS interference excision method using FrFT filtering has been developed to suppress GNSS interference. These proposed methods are tested in a controlled test bench experiment, for detecting and mitigating sweep interference, a major type of GNSS-interfering signal generated by a GNSS jammer. The jamming tolerance analysis results show that the proposed FrFT filtering method is more than 25 dB higher than the state-of-the-art two-pole notch filter technique; the reliability of the proposed FrFT method has been further consolidated using effective carrier power-to-noise power density ratio analysis; and therefore, the proposed anti-interference method using FrFT filtering is recommended for use in GNSS receivers.


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    Title :

    A GNSS Anti-Interference Method Based on Fractional Fourier Transform


    Contributors:


    Publication date :

    2024-10-01


    Size :

    4090738 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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