Array-based GNSS signal tracking with a reduced state signal model

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    12 Citations (Scopus)

    Abstract

    This paper introduces a reduced state signal model in which interfering signals are suppressed with the help of beamforming. Based on our model, a particle filtering algorithm integrated with beamformer for satellite navigation signal tracking is proposed to increase the computational efficiency and the robustness to the signal model mismatch from unknown interference. Through extensive simulations and flop complexity analysis, we verify the superiority of the proposed algorithm against existing Bayesian filtering algorithms without beamforming.

    Original languageEnglish
    Pages (from-to)1267-1283
    Number of pages17
    JournalIEEE Transactions on Aerospace and Electronic Systems
    Volume52
    Issue number3
    DOIs
    Publication statusPublished - 1 Jun 2016
    Publication typeA1 Journal article-refereed

    Publication forum classification

    • Publication forum level 2

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Aerospace Engineering

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