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

Research output: Contribution to journalArticleScientificpeer-review


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


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.